{"id":"W7062801637","doi":"","title":"When Communities Collide: Sorting Out the Partners in Co-Management of British Columbian Fisheries","year":2009,"lang":"en","type":"article","venue":"Digital Library Of The Commons Repository (Indiana University)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorting; Theme (computing); Fishing; Fisheries law; Human rights","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":[],"consensus_categories":[],"category_scores_codex":[0.006969839,0.0003275193,0.0003832647,0.00276354,0.04389858,0.01524452,0.002372761,0.003262386,0.009317087],"category_scores_gemma":[0.01831546,0.0005209412,0.000174111,0.003081014,0.02068957,0.008122177,0.0182332,0.003176367,0.0005722866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03117681,"about_ca_system_score_gemma":0.05740621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7895223,"about_ca_topic_score_gemma":0.9224657,"domain_scores_codex":[0.9917264,0.003429356,0.0001492194,0.0005475341,0.001178862,0.002968613],"domain_scores_gemma":[0.9907839,0.002276153,0.00079715,0.0003339543,0.001797072,0.004011802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001309542,0.00007649746,0.05365024,0.000182314,0.0000321994,0.002247097,0.6652761,0.0004495731,0.0007976983,0.1123005,0.0308266,0.1340303],"study_design_scores_gemma":[0.00001621203,0.00002181338,0.02709548,0.000399797,0.00001998781,0.0001583634,0.8710998,0.0004875791,0.0001576566,0.02037599,0.08011738,0.00004990573],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7320779,0.003057251,0.002889715,0.06467926,0.0002476552,0.000158862,0.0000765057,0.000042193,0.1967707],"genre_scores_gemma":[0.9850418,0.0006726526,0.0009991879,0.002122557,0.00001533828,0.00004934401,0.00002857066,0.00001858426,0.01105204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2104777,"threshold_uncertainty_score":0.4234344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132227313502509,"score_gpt":0.1812442193611103,"score_spread":0.1699219462260853,"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."}}