{"id":"W3092674455","doi":"10.1111/faf.12554","title":"Identifying predictors of international fisheries conflict","year":2021,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia; Memorial University of Newfoundland","funders":"Stiftelsen för Miljöstrategisk Forskning","keywords":"Scarcity; Fishery; Fisheries management; Per capita; Economics; Natural resource economics; Biology; Microeconomics; Fishing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001597974,0.00007352341,0.00012385,0.00003674047,0.0002301317,0.0002728226,0.0001560436,0.00004841963,0.0009109717],"category_scores_gemma":[0.00008972067,0.00007846447,0.00004494599,0.0001160265,0.0004650909,0.0003078698,0.00008401748,0.00006249052,0.000002298161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001922996,"about_ca_system_score_gemma":0.00005030724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005915618,"about_ca_topic_score_gemma":0.002988071,"domain_scores_codex":[0.9991474,0.00006283736,0.0001693572,0.0001652193,0.0002927304,0.0001624148],"domain_scores_gemma":[0.999664,0.0000361478,0.00005067269,0.0001025383,0.00008619876,0.00006045141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002701428,0.00004853872,0.8830475,0.00008510945,0.0001543161,0.00002859683,0.07094357,0.000001090132,0.0001429085,0.004497324,0.03676757,0.004256426],"study_design_scores_gemma":[0.0001518702,0.00001225166,0.1166832,0.00001947974,0.0000132134,0.000001198466,0.009738572,0.000002070281,0.0004060764,0.0002893113,0.8726084,0.00007428677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7970096,0.0001948434,0.0002104419,0.01518398,0.001162832,0.0001301423,0.00006600892,0.0001002867,0.1859419],"genre_scores_gemma":[0.9851888,0.0007369472,0.0004147092,0.0006853225,0.0002480108,0.00001232454,0.0000428537,0.00001160609,0.01265945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8358409,"threshold_uncertainty_score":0.9974501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141505943205054,"score_gpt":0.2649632562786183,"score_spread":0.2335481968465678,"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."}}