{"id":"W6961073498","doi":"10.14288/1.0225503","title":"Canadian Pacific Steamships agent's stubs","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ticket; Government (linguistics); Pacific Area; Kingdom","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":[0.0001353268,0.00009944098,0.0001123515,0.00006645046,0.00214116,0.0008566667,0.0004953461,0.00008211361,0.02949535],"category_scores_gemma":[0.00007652032,0.00007129312,0.00005022656,0.0005045136,0.00004205924,0.0001548917,0.0001246633,0.0001382847,0.0004077809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004369572,"about_ca_system_score_gemma":0.000807182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2775795,"about_ca_topic_score_gemma":0.5322272,"domain_scores_codex":[0.9990094,0.00002932862,0.0001286702,0.0002599142,0.0001589941,0.0004136392],"domain_scores_gemma":[0.9990763,0.00008334179,0.00002349066,0.0003576161,0.00007694864,0.000382272],"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":[0.0000120077,0.0000549202,0.0005128316,0.000005921456,0.00004929048,0.00002326261,0.00005492973,4.756292e-7,0.007719853,0.0001021526,0.9875048,0.00395951],"study_design_scores_gemma":[0.0005866829,0.00002354078,0.00006896371,0.00004717155,0.000006824011,0.00001677045,0.000778342,0.000005629553,0.01342591,0.0005952504,0.9842755,0.0001694658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003784391,0.00002276695,0.000009967257,0.002657465,0.0001336131,0.0001513417,0.0001786415,0.00004030022,0.9930215],"genre_scores_gemma":[0.3601686,0.00002780847,0.00003264277,0.00002361349,0.00009491353,0.00008388497,0.000005898994,0.00001401216,0.6395487],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3563842,"threshold_uncertainty_score":0.9991579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240784506387319,"score_gpt":0.2748561838691884,"score_spread":0.2424483388053152,"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."}}