{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001810612,0.00008930919,0.00009214854,0.00006155205,0.0005026885,0.0001870236,0.0003023468,0.00007687465,0.0006972505],"category_scores_gemma":[0.00006236148,0.00007092665,0.00002281399,0.0005423852,0.00003128824,0.0001519322,0.00004636648,0.00009114214,0.0001181634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006187503,"about_ca_system_score_gemma":0.00002067447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01755522,"about_ca_topic_score_gemma":0.1701982,"domain_scores_codex":[0.9994486,0.000006043797,0.0000957724,0.0001333905,0.00005047551,0.0002657494],"domain_scores_gemma":[0.9995563,0.00004639424,0.000008955898,0.0002483402,0.00002268519,0.0001173295],"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":[0.000003469326,0.00001311512,0.0001056017,0.000004095176,0.00004852319,0.00001169589,0.00002845149,0.0004217072,0.03137606,0.000331382,0.9549009,0.01275504],"study_design_scores_gemma":[0.0002655147,0.00001811283,0.00004832925,0.00002036784,0.000005394576,0.000010398,0.000287254,0.00008720941,0.07396986,0.004855828,0.9202091,0.000222609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00731616,0.00005540541,0.001412547,0.0009623924,0.0003866331,0.000398186,0.0001018288,0.0008658377,0.988501],"genre_scores_gemma":[0.7941447,0.0001051957,0.0009383281,0.00001717648,0.00002824996,0.0001107888,0.000002056813,0.0000297978,0.2046237],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7868285,"threshold_uncertainty_score":0.988987,"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."}}