{"id":"W7134363412","doi":"","title":"Fisheries Centre research reports. Volume 19, number 1","year":2011,"lang":"en","type":"report","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seahorse; Fur trade; Pacific ocean; Range (aeronautics)","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":[0.001260693,0.001168416,0.0007354831,0.003236148,0.001262435,0.004017757,0.001296251,0.001238802,0.4788871],"category_scores_gemma":[0.003081753,0.0006358097,0.0003842829,0.005622563,0.0003167849,0.002003992,0.001417243,0.001295122,0.3875648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329081,"about_ca_system_score_gemma":0.006384197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04095223,"about_ca_topic_score_gemma":0.05588176,"domain_scores_codex":[0.9984164,0.0001050923,0.0001103297,0.0002167356,0.001023418,0.0001279925],"domain_scores_gemma":[0.997956,0.000181143,0.00009671136,0.0002285631,0.001376186,0.0001613599],"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":[0.00002402105,0.00002872444,0.0002834603,0.0001767542,0.000003095041,0.00001702765,0.00002908935,0.00002735325,0.0001361785,0.0008898501,0.915013,0.0833713],"study_design_scores_gemma":[0.000004260553,0.000008346494,0.001049274,0.00009359427,0.000001548283,0.00001986136,0.00003722965,0.00001900654,0.0001086889,0.000115333,0.9985394,0.000003364473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001310653,0.009104006,0.0007242405,0.004287921,0.003505476,0.0004083597,0.05939628,0.00147259,0.9197905],"genre_scores_gemma":[0.002159535,0.005283723,0.0008734145,0.0004199893,0.0001814783,0.0001396278,0.01954364,0.0003086299,0.9710898],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5211129,"threshold_uncertainty_score":0.7433043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05614530759860868,"score_gpt":0.2546618762080133,"score_spread":0.1985165686094046,"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."}}