{"id":"W2770167516","doi":"10.1080/2153599x.2017.1387592","title":"Explaining agency detection within a domain-specific, culturally attuned model","year":2017,"lang":"en","type":"article","venue":"Religion Brain & Behavior","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; York University","funders":"","keywords":"Agency (philosophy); Domain (mathematical analysis); Psychology; Data science; Sociology; Computer science; Social science; Mathematics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006917929,0.0001792032,0.0002184965,0.00007039264,0.00269915,0.0002940828,0.0006063569,0.0003050948,0.00009940664],"category_scores_gemma":[0.0001507145,0.0001711288,0.0001791773,0.0001003519,0.0004249034,0.0004717974,0.00007710564,0.000263416,0.0001662211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001749035,"about_ca_system_score_gemma":0.00006406286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001579734,"about_ca_topic_score_gemma":0.00214635,"domain_scores_codex":[0.9982387,0.000173653,0.0003342236,0.0004323665,0.00038408,0.0004369239],"domain_scores_gemma":[0.9988592,0.00005253628,0.0003302717,0.0004495714,0.0001328663,0.0001755864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002948504,0.0004859426,0.007463609,0.000008851759,0.00004518806,0.0001455047,0.2279988,0.00001935849,0.3917621,0.1825826,0.04704994,0.1421432],"study_design_scores_gemma":[0.005848974,0.0009728712,0.2216378,0.0003316888,0.0001889178,0.00007133216,0.04149217,0.000342908,0.007970842,0.07010927,0.6476951,0.003338127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958138,0.00009368116,0.001816639,0.003408084,0.00175861,0.0004000357,0.000004176255,0.0001985333,0.03418226],"genre_scores_gemma":[0.9926813,0.0002637546,0.001123109,0.0005365487,0.0005972727,0.0001451478,0.000004779219,0.00002506662,0.004623058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6006451,"threshold_uncertainty_score":0.9985992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06151107237563877,"score_gpt":0.3668172116232157,"score_spread":0.3053061392475769,"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."}}