{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002687113,0.0001166724,0.0003912933,0.0000762509,0.001449545,0.00009149244,0.0007640184,0.0003252,0.001017156],"category_scores_gemma":[0.0003276335,0.00020999,0.0002012552,0.001638645,0.0008038217,0.0003575175,0.0003600421,0.0005406942,0.00002773331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002035201,"about_ca_system_score_gemma":0.0004364633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2409663,"about_ca_topic_score_gemma":0.5356181,"domain_scores_codex":[0.9981449,0.000281086,0.0002969653,0.0003736959,0.0004376877,0.0004657221],"domain_scores_gemma":[0.9986907,0.0002328148,0.0002211925,0.0002424607,0.0002177554,0.0003950502],"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":[0.0001364551,0.0001607853,0.1165595,0.00007494135,0.000284404,0.0001196228,0.0195485,0.0001103878,0.0005384574,0.01406094,0.8393412,0.009064823],"study_design_scores_gemma":[0.001039377,0.00009882831,0.02095282,0.00003202069,0.0001602124,9.968062e-7,0.007592713,0.0001069203,0.00000929473,0.0005909105,0.9691219,0.0002939652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5060086,0.0003214937,0.0001250652,0.009438111,0.0008735619,0.0009112297,0.0001951737,0.0003194776,0.4818073],"genre_scores_gemma":[0.9622197,0.0003745718,0.0001047151,0.0001999292,0.0006530535,0.000001925791,0.000009645159,0.0000174442,0.03641902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4562111,"threshold_uncertainty_score":0.999896,"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."}}