{"id":"W6923612623","doi":"10.14288/1.0008025","title":"Views of B.C. Bird at sea, and tied up at wharf near The Canadian Fishing Company","year":2002,"lang":"en","type":"other","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fishing; Wharf; Commercial fishing; Fishing industry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002706092,0.0004710877,0.0002799989,0.001370007,0.004248549,0.002002757,0.0005232849,0.0006568447,0.3326718],"category_scores_gemma":[0.0004808423,0.0002609432,0.0001587777,0.001237385,0.0004726199,0.000701979,0.000624689,0.001291411,0.09873577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004522709,"about_ca_system_score_gemma":0.005082628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8416998,"about_ca_topic_score_gemma":0.9772037,"domain_scores_codex":[0.999773,0.000006969119,0.000002569028,0.00002293365,0.000139238,0.00005536117],"domain_scores_gemma":[0.9990882,0.00002343899,0.00001328113,0.00001811921,0.0006189768,0.0002379949],"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":[0.00001316023,0.000006194948,0.000508634,0.00001976612,0.000001145168,0.00003627311,0.00009473255,0.00002628286,0.000210831,0.0005122553,0.9854105,0.0131603],"study_design_scores_gemma":[0.000001343623,0.000001973837,0.002844981,0.0000280369,0.000002574444,0.00002532918,0.0004106001,0.00003386033,0.000167862,0.00006255196,0.9964149,0.000006012445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002311377,0.002314665,0.000459424,0.006295798,0.001034614,0.00005402004,0.009845093,0.0004117237,0.9772733],"genre_scores_gemma":[0.004734611,0.0008059661,0.0002543972,0.0003802263,0.00004513532,0.000006251671,0.00114112,0.0001175745,0.9925148],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8416998,"threshold_uncertainty_score":0.9518628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05801569637370309,"score_gpt":0.2767130291585147,"score_spread":0.2186973327848116,"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."}}