{"id":"W4323787475","doi":"10.33137/ic.v23i.39890","title":"Customs / Thin Man","year":2022,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002761651,0.00006547358,0.00008434623,0.00008004967,0.00157535,0.00005719797,0.0002261851,0.0000199101,0.003406442],"category_scores_gemma":[0.00005757852,0.00007422503,0.00004989498,0.0002855786,0.0001208406,0.0001064444,0.0000347369,0.0001016285,0.0001552372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002954309,"about_ca_system_score_gemma":0.0003660622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2309867,"about_ca_topic_score_gemma":0.556255,"domain_scores_codex":[0.9989669,0.0001072078,0.0000874664,0.0001340935,0.0003135292,0.0003907675],"domain_scores_gemma":[0.9994959,0.00002948694,0.00002921567,0.000135941,0.00001723855,0.0002922706],"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":[0.000005901391,0.00002942681,0.01342101,0.000004604281,0.00004231213,0.0001543864,0.1014295,0.00004784037,0.000007497626,0.0652632,0.8089403,0.01065406],"study_design_scores_gemma":[0.00007725137,0.00002525343,0.003835629,0.000001418598,0.000006047799,0.000001614557,0.04386286,0.000002419464,0.000002615669,0.001104806,0.9509698,0.0001102458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2146835,0.0005952782,0.00000188547,0.01771208,0.000731312,0.0001606271,0.0001050874,0.00007267416,0.7659376],"genre_scores_gemma":[0.9617922,0.000007005444,0.00001100532,0.00399732,0.0001572143,0.00001861752,0.000005495958,0.000008071323,0.0340031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7471087,"threshold_uncertainty_score":0.9997244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230275384236779,"score_gpt":0.285564397773738,"score_spread":0.2625368593500601,"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."}}