{"id":"W6903144041","doi":"10.7916/d8-w3j3-q527","title":"[Bank of Montreal, memorial tablet]","year":2020,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Natural (archaeology); Exposition (narrative)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005524668,0.001457112,0.000748014,0.002540961,0.008224654,0.007399991,0.002259017,0.004445437,0.7068759],"category_scores_gemma":[0.003056813,0.001360622,0.0006971795,0.004918941,0.0009541602,0.002141401,0.001761395,0.002636342,0.3235864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006542358,"about_ca_system_score_gemma":0.01056764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6708074,"about_ca_topic_score_gemma":0.8799774,"domain_scores_codex":[0.999486,0.00003788053,0.00001777146,0.00007755786,0.0001919669,0.0001888457],"domain_scores_gemma":[0.9989403,0.0001714526,0.00004764238,0.00009736793,0.0005235815,0.0002196839],"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":[0.00001798094,0.000009251768,0.0001524548,0.00002342559,0.000001580397,0.00003521259,0.000035236,0.00003024009,0.00002769934,0.002045502,0.9887339,0.008887624],"study_design_scores_gemma":[0.00002191823,0.000005668548,0.002304074,0.00004116924,0.000003784564,0.0000138723,0.0001132924,0.00004782716,0.00004180457,0.000307604,0.9970854,0.00001370118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001123023,0.002087033,0.0001574029,0.00476243,0.0009767133,0.0001720092,0.01376329,0.0009773996,0.9759807],"genre_scores_gemma":[0.001973561,0.0004159917,0.00009652419,0.0009005349,0.0001538034,0.00007431227,0.00111613,0.0001995872,0.9950695],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7068759,"threshold_uncertainty_score":0.6622625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815236260386062,"score_gpt":0.2435730343275938,"score_spread":0.2154206717237332,"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."}}