{"id":"W6923617418","doi":"10.14288/1.0225101","title":"Canadian Pacific Steamships agent's stubs","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ticket; Pacific Area","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":[0.0005773363,0.0007749925,0.0003587329,0.001164966,0.006849131,0.002906666,0.0007594972,0.001338452,0.4627493],"category_scores_gemma":[0.001643202,0.0003999633,0.0002680222,0.001196936,0.0005214573,0.00147903,0.001528823,0.001853838,0.1263284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004324376,"about_ca_system_score_gemma":0.01317726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6536695,"about_ca_topic_score_gemma":0.8766729,"domain_scores_codex":[0.9995659,0.00001453229,0.000008565909,0.00003903872,0.0002379246,0.0001340031],"domain_scores_gemma":[0.9985452,0.00005985773,0.00003205735,0.00006140017,0.0007314822,0.0005700887],"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":[0.00002484007,0.00001648342,0.0002810773,0.00001567499,0.00000107488,0.00006280785,0.00009409047,0.00002707809,0.0001447825,0.00089699,0.9854357,0.01299944],"study_design_scores_gemma":[0.000004721581,0.000004973281,0.0006008702,0.00001071439,0.00000126813,0.00001634846,0.0002441483,0.00005614403,0.00007597945,0.00005927329,0.9989209,0.0000046769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003536763,0.0007967472,0.0007536375,0.009100057,0.004325658,0.0002709374,0.007107305,0.001803371,0.9723054],"genre_scores_gemma":[0.006218794,0.0004634862,0.000375509,0.0006400172,0.0002118749,0.00002677942,0.001721123,0.0002306012,0.9901119],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4627493,"threshold_uncertainty_score":0.766323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517864267681642,"score_gpt":0.217812873870239,"score_spread":0.2026342311934226,"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."}}