{"id":"W3096166997","doi":"10.1002/fsh.10551","title":"In Memoriam","year":2020,"lang":"en","type":"article","venue":"Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wife; Government (linguistics); Fish <Actinopterygii>; Management; Fishery; Library science; Sociology; Political science; Law; Philosophy; Computer science","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":[0.003065198,0.001310835,0.001194937,0.001963854,0.003756406,0.008161107,0.002243236,0.003556542,0.2082803],"category_scores_gemma":[0.02999261,0.000488321,0.0007727867,0.001082044,0.001387889,0.00512358,0.003364249,0.008689268,0.1454144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003435579,"about_ca_system_score_gemma":0.005030521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003368003,"about_ca_topic_score_gemma":0.00586622,"domain_scores_codex":[0.9965574,0.0005136639,0.0002537723,0.000692388,0.001609369,0.0003734519],"domain_scores_gemma":[0.9821208,0.002411202,0.0007318187,0.0008082249,0.01083446,0.003093426],"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":[0.000007769416,0.000003916533,0.00002284608,0.00002106607,0.000001116342,0.00003250299,0.00002909551,0.00000536229,0.00002351478,0.000666718,0.9917681,0.007418017],"study_design_scores_gemma":[0.000002034988,0.000003839099,0.00005617109,0.00004493627,0.000001212771,0.00008760836,0.00004713985,0.00001066497,0.00002498091,0.0003147604,0.9994034,0.000003251288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003970738,0.01109466,0.001019391,0.2058545,0.6959987,0.0001033648,0.001135363,0.0007220908,0.08367494],"genre_scores_gemma":[0.005298957,0.008579964,0.001206972,0.1080635,0.1763685,0.0001996318,0.001120518,0.000775321,0.6983866],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2082803,"threshold_uncertainty_score":0.696767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236161687908066,"score_gpt":0.2314341011080776,"score_spread":0.2078179323172709,"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."}}