{"id":"W6942271719","doi":"10.14288/1.0007915","title":"A.T.Cameron, Fisheries Research Board of Canda vessel, Victoria Basin, Montreal October 17","year":2002,"lang":"en","type":"other","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fisheries Research; Fishing; On board; Government (linguistics); Fisheries management","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":[0.0004843843,0.0009111848,0.0005014689,0.001647668,0.003912485,0.002499904,0.001314807,0.00086357,0.6615763],"category_scores_gemma":[0.0009336643,0.000467334,0.0003123629,0.001923759,0.0005617986,0.001004863,0.001157702,0.001062528,0.3429549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003153828,"about_ca_system_score_gemma":0.006207766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.458423,"about_ca_topic_score_gemma":0.8237168,"domain_scores_codex":[0.9997079,0.00001472396,0.000007430185,0.00006408907,0.0001402357,0.00006557431],"domain_scores_gemma":[0.9989899,0.00003693527,0.00002514876,0.0000526547,0.0006080148,0.0002873423],"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":[0.00002570103,0.00001311104,0.0003019196,0.00003653577,9.55359e-7,0.0000317746,0.0000493125,0.00002460414,0.0001849918,0.0005193716,0.9789603,0.01985133],"study_design_scores_gemma":[0.000006488955,0.000007288566,0.00299152,0.00004439537,0.000001431169,0.00001387295,0.00009240903,0.00004308096,0.0001214929,0.00009297654,0.9965792,0.00000582003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002171039,0.001341759,0.000780398,0.002165313,0.001466359,0.0004163325,0.02481856,0.001722673,0.9651176],"genre_scores_gemma":[0.001090794,0.0003012693,0.0001955264,0.00004884371,0.00003473574,0.00001595401,0.002045861,0.0001551963,0.9961117],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6615763,"threshold_uncertainty_score":0.9115095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04721185436830009,"score_gpt":0.322658016888752,"score_spread":0.2754461625204519,"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."}}