{"id":"W6923573678","doi":"10.14288/1.0225175","title":"Canadian Pacific Steamships agent's stubs","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ticket; Government (linguistics)","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":["insufficient_payload"],"category_scores_codex":[0.0002262562,0.00006199267,0.00008593743,0.00008756862,0.005149862,0.000716853,0.00029112,0.000031747,0.1185454],"category_scores_gemma":[0.0000631642,0.00003848837,0.00003450872,0.0001064072,0.0002017225,0.0001753001,0.00004777438,0.00009744953,0.0008314281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002963599,"about_ca_system_score_gemma":0.0005587847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4028081,"about_ca_topic_score_gemma":0.9198639,"domain_scores_codex":[0.9992709,0.00007987879,0.0001050992,0.0001517967,0.0001374499,0.0002549232],"domain_scores_gemma":[0.9993319,0.00007932945,0.00001656168,0.0001748917,0.0000773438,0.0003200097],"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":[0.000007406212,0.00002979498,0.0000103918,0.000001931739,0.00001638084,0.000008702915,0.001620568,4.80311e-8,0.000006057986,0.01489015,0.9809638,0.0024448],"study_design_scores_gemma":[0.0002268152,0.00005498558,0.00001047559,0.00001880065,0.000003876778,0.000002308208,0.002322137,0.000001791954,0.00001015748,0.001654268,0.9956163,0.00007813773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002420408,0.00003026258,0.00001191371,0.003329584,0.0009161938,0.0002758437,0.00009273264,0.00002175311,0.9950797],"genre_scores_gemma":[0.1156541,0.00002342265,0.000008831904,0.0001312999,0.0002803135,0.00008052023,0.000003265035,0.000008511874,0.8838097],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5170558,"threshold_uncertainty_score":0.9999465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08026748766914692,"score_gpt":0.2697347789299726,"score_spread":0.1894672912608257,"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."}}