{"id":"W4235257763","doi":"10.14209/sbrt.2018.246","title":"10.14209/SBRT.2018.246","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001279973,0.0006923457,0.0005395171,0.002163874,0.001913925,0.005560077,0.001053311,0.002227375,0.9255421],"category_scores_gemma":[0.002697113,0.0004471334,0.0007252891,0.002385583,0.001202125,0.003760198,0.002553985,0.001561256,0.9315612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137984,"about_ca_system_score_gemma":0.00139119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002699564,"about_ca_topic_score_gemma":0.002598044,"domain_scores_codex":[0.9992114,0.0001025351,0.00009768319,0.0001603425,0.0003359046,0.00009209239],"domain_scores_gemma":[0.9979566,0.0002639737,0.0001222174,0.000460956,0.0007999446,0.000396367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000108495,0.0001261367,0.0006756506,0.0003688867,0.000009465166,0.0002076085,0.0002767957,0.0001185784,0.001490947,0.0208442,0.6112888,0.3644844],"study_design_scores_gemma":[0.000009148412,0.0000161841,0.0003322597,0.0001184858,0.000003668049,0.0001805364,0.000110319,0.0001220767,0.0002774739,0.00131422,0.9975058,0.000009847167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007667497,0.0006709933,0.001546479,0.001072397,0.001775227,0.00007039614,0.00159,0.002121211,0.9903866],"genre_scores_gemma":[0.003696199,0.0004989933,0.0007531958,0.0003736186,0.0002939504,0.00003945527,0.001149344,0.0008280671,0.9923672],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07445794,"threshold_uncertainty_score":0.1062052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557692551226447,"score_gpt":0.1836250482202832,"score_spread":0.1680481227080187,"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."}}