{"id":"W2810273722","doi":"10.30986/2018.231","title":"HL 67.2 Front Matter","year":2018,"lang":"en","type":"article","venue":"Humanistica Lovaniensia","topic":"Silicone and Siloxane Chemistry","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universitat Autònoma de Barcelona; University at Albany; Università degli Studi di Torino; Uniwersytet Warszawski; Universität Hamburg; Centre National de la Recherche Scientifique; Institució Catalana de Recerca i Estudis Avançats; Universiteit Leiden; Universiteit Antwerpen; Queen's University; University of Leicester; University of Exeter; Università degli Studi di Napoli Federico II; Vrije Universiteit Amsterdam; Euskal Herriko Unibertsitatea; Universiteit Utrecht; Sveučilište u Zagrebu; State University of New York; University of Warwick; King's College London; KU Leuven; Brown University","keywords":"Front (military); Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001714915,0.0001844879,0.0002046199,0.00003022723,0.0002576437,0.0001273813,0.0003031823,0.00008874604,0.07523102],"category_scores_gemma":[0.00006444385,0.0001671353,0.00005456898,0.00004425351,0.000424058,0.00009045572,0.0001171942,0.0001048216,0.08227342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004394458,"about_ca_system_score_gemma":0.00003866152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004407385,"about_ca_topic_score_gemma":0.00001884132,"domain_scores_codex":[0.9985956,0.00002884752,0.0002589019,0.0004412396,0.000239995,0.0004353995],"domain_scores_gemma":[0.9990643,0.00004751295,0.00004664369,0.0005738485,0.0001378313,0.0001298971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001963898,0.00003959666,0.0006488541,0.00001587932,0.000004556738,0.00002815351,0.000352833,2.735124e-7,0.9353018,0.001127806,0.06242929,0.00003133689],"study_design_scores_gemma":[0.0002706921,0.000085458,0.006545618,0.00002101146,0.00002907703,0.00007435912,0.000127834,0.00003847947,0.9620181,0.001266463,0.02920014,0.00032278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8635656,0.0000350813,0.0003503358,0.00009224005,0.0005134799,0.00007401992,0.00001410526,0.0001264323,0.1352288],"genre_scores_gemma":[0.9890931,0.000001064597,0.001413773,0.001279757,0.0008747994,0.0000073523,0.00000856928,0.00002850625,0.007293102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1279357,"threshold_uncertainty_score":0.9256144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639423459881565,"score_gpt":0.2470920169052475,"score_spread":0.2306977823064319,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}