{"id":"W4243409738","doi":"10.1017/cbo9780511617966.007","title":"Case Studies","year":2007,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fishing; Fishery; Stock (firearms); Fish stock; Variety (cybernetics); Fisheries management; Fish <Actinopterygii>; Business; Geography; Biology; Computer science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002998936,0.0007011336,0.0005165479,0.002663337,0.004241467,0.002296034,0.001703137,0.003024726,0.03105254],"category_scores_gemma":[0.01111099,0.0002568768,0.0007215752,0.004580388,0.001225939,0.00163162,0.002883801,0.001715665,0.004395507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003166306,"about_ca_system_score_gemma":0.00198616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006331531,"about_ca_topic_score_gemma":0.012934,"domain_scores_codex":[0.9967098,0.00165984,0.0002854168,0.0002063645,0.0005902629,0.0005482201],"domain_scores_gemma":[0.9962895,0.002203477,0.0003964505,0.0002169486,0.000446731,0.0004470035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.0009231934,0.002227625,0.03526452,0.005657516,0.0001442896,0.2088532,0.03149208,0.003787839,0.001434699,0.1182053,0.2711907,0.3208191],"study_design_scores_gemma":[0.00009291524,0.0002790355,0.006048937,0.003611598,0.00006628509,0.08671437,0.0266427,0.0005900558,0.0008816099,0.01325734,0.8617566,0.00005861818],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2883346,0.07186189,0.02050638,0.02341247,0.002413572,0.00530557,0.006222797,0.0002463984,0.5816963],"genre_scores_gemma":[0.7352861,0.0700489,0.03081112,0.01208902,0.0006168922,0.004425632,0.005589804,0.0002165231,0.140916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03105254,"threshold_uncertainty_score":0.1038811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06562469250759333,"score_gpt":0.2517453558352806,"score_spread":0.1861206633276873,"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."}}