{"id":"W7134371537","doi":"","title":"Fisheries Centre research reports. Volume 11, number 3","year":2003,"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":"Livelihood; Fishing; Cost–benefit analysis; Commercial fishing; Fishing industry; Economic impact analysis","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":[0.001711167,0.001228851,0.001000893,0.003598971,0.0009976807,0.004406765,0.001739537,0.001637848,0.4801571],"category_scores_gemma":[0.004222551,0.0008249136,0.0005060956,0.006519663,0.0003648583,0.002300258,0.001594954,0.001615519,0.3819164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588181,"about_ca_system_score_gemma":0.006299348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04765108,"about_ca_topic_score_gemma":0.05552411,"domain_scores_codex":[0.9981449,0.0001156164,0.0001598864,0.0003275984,0.001094829,0.000157206],"domain_scores_gemma":[0.9972616,0.0003065092,0.0001407835,0.0004443597,0.001593016,0.0002536828],"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":[0.00003423499,0.0000274971,0.0002852232,0.0001760235,0.000003774491,0.00001342207,0.00002075303,0.00003826277,0.0001084443,0.001091833,0.9220805,0.07612004],"study_design_scores_gemma":[0.000008690568,0.000009804505,0.001011652,0.00009472246,0.000001756917,0.00001127275,0.00002383696,0.00002584644,0.00007533719,0.000141089,0.998592,0.00000409069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001358441,0.01327486,0.001081487,0.007075013,0.006256256,0.0006549592,0.1182004,0.001894959,0.8502036],"genre_scores_gemma":[0.002087154,0.006419593,0.0009450028,0.0006391523,0.0002770684,0.0002329568,0.03094868,0.0003547262,0.9580957],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5198429,"threshold_uncertainty_score":0.7414927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716102768602691,"score_gpt":0.2511228718651158,"score_spread":0.2139618441790889,"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."}}