{"id":"W2909197103","doi":"10.15173/sciential.v1i1.1968","title":"Sciential Issue 1","year":2018,"lang":"en","type":"article","venue":"Sciential - McMaster Undergraduate Science Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.00522797,0.0002801506,0.0004289889,0.001318516,0.003521584,0.002740507,0.001820922,0.00006808317,0.02873101],"category_scores_gemma":[0.0002439102,0.0002735819,0.0002318957,0.002370063,0.005712993,0.002695989,0.0006635215,0.0002963327,0.05466726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003147064,"about_ca_system_score_gemma":0.0002525355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004670314,"about_ca_topic_score_gemma":0.00001508482,"domain_scores_codex":[0.9959925,0.00001997405,0.0009478062,0.00123614,0.0004353558,0.001368157],"domain_scores_gemma":[0.9978789,0.00001658696,0.0006385106,0.0005008654,0.0003827249,0.0005823941],"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":[0.00009347872,0.0003597231,0.007954539,0.00002073389,0.0001381085,0.00002896512,0.005202602,0.0001228482,0.00424614,0.2018166,0.7702544,0.009761933],"study_design_scores_gemma":[0.001320553,0.0002405644,0.002001008,0.00003731624,0.00001751456,0.0001614303,0.001011257,0.00423667,0.001701658,0.05896571,0.9296048,0.0007015328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06367573,0.0003347319,0.006720709,0.004014825,0.0507369,0.000255968,0.00009790983,0.00009271621,0.8740705],"genre_scores_gemma":[0.720754,0.00005677432,0.003330061,0.0007473715,0.002353454,0.000003842495,0.000001442558,0.00002486603,0.2727282],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6570782,"threshold_uncertainty_score":0.9999716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591276814173713,"score_gpt":0.2437387682950363,"score_spread":0.2078260001532992,"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."}}