{"id":"W4380343473","doi":"10.1007/978-981-99-2295-6_7","title":"General Introduction","year":2023,"lang":"en","type":"book-chapter","venue":"Behaviormetrics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Categorical variable; Computer science; Mathematics; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004402789,0.0003026717,0.0004579379,0.0005774379,0.00006963222,0.00004731036,0.0002069602,0.0004377821,0.001613369],"category_scores_gemma":[0.002100085,0.00028527,0.0001522683,0.0002375838,0.00007347458,0.00002983322,0.000115172,0.0005278992,0.0007714037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171739,"about_ca_system_score_gemma":0.00005422031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007908552,"about_ca_topic_score_gemma":0.00000289375,"domain_scores_codex":[0.9982978,0.00002201173,0.0004752605,0.0004191889,0.0005255737,0.0002602246],"domain_scores_gemma":[0.9982513,0.00067895,0.0002305714,0.0005108299,0.0002132692,0.0001150642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002591655,0.00001825946,0.00001462632,0.00004115881,0.00001302516,0.00002256612,0.000008836018,1.013136e-7,0.0000134706,0.8600506,0.05163739,0.08817741],"study_design_scores_gemma":[0.0001109889,0.0001035195,0.0002718805,0.00003541318,0.0002801232,0.00001264657,0.000002782973,0.00002369108,0.00004848325,0.8548524,0.143856,0.0004019854],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005426512,0.0001888018,0.1010813,0.0003557246,0.008094408,0.001026765,0.0007608105,0.00115196,0.8867975],"genre_scores_gemma":[0.0000182288,0.0001595457,0.1784453,0.00002275327,0.001548995,0.00001654486,0.00005923348,0.0001311211,0.8195983],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09221863,"threshold_uncertainty_score":0.9999599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2331576696657252,"score_gpt":0.400377647911091,"score_spread":0.1672199782453659,"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."}}