{"id":"W2530171261","doi":"10.20381/ruor-2375","title":"Multicriteria procedures for science program prioritization at Fisheries and Oceans, Canada","year":2004,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishery; Prioritization; Fisheries science; Environmental resource management; Fishing; Geography; Fisheries management; Computer science; Environmental planning; Environmental science; Engineering; Management science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002848357,0.0000809586,0.0001984865,0.0004696891,0.001353822,0.0002549615,0.0008572333,0.00004047814,0.00007567178],"category_scores_gemma":[0.00391237,0.00007615831,0.00003984757,0.001359268,0.0008939698,0.0005308387,0.0005093866,0.00008356789,0.000004940098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979251,"about_ca_system_score_gemma":0.001519081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02462356,"about_ca_topic_score_gemma":0.5301892,"domain_scores_codex":[0.9965166,0.00007581897,0.0002162637,0.000499486,0.002307084,0.0003847239],"domain_scores_gemma":[0.9968746,0.0006765688,0.0001147314,0.0003476632,0.001780266,0.0002061543],"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":[0.0002584372,0.000509305,0.3209042,0.0005319242,0.00005618446,0.000182107,0.01051906,0.0004218773,0.02649018,0.2324229,0.2046715,0.2030322],"study_design_scores_gemma":[0.002327611,0.0006063665,0.4024822,0.0001550298,0.000008268449,0.0000346746,0.01713603,0.007213228,0.0009415961,0.02935423,0.5393827,0.0003580838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908603,0.0001047407,0.00291355,0.001769942,0.0001421946,0.0009838295,0.00005633585,0.000029291,0.003139748],"genre_scores_gemma":[0.985887,0.000007021815,0.01111345,0.00001328901,0.00002250086,0.000001485379,0.000001760658,0.00000520706,0.002948273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5055656,"threshold_uncertainty_score":0.9999463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475637526196333,"score_gpt":0.4061630652485895,"score_spread":0.2585993126289562,"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."}}