{"id":"W6925272776","doi":"10.17895/ices.pub.25259128","title":"Technologies for monitoring fishing activities and observing catch in Canada","year":2006,"lang":"en","type":"other","venue":"Open MIND","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Commercial fishing; Work (physics); Citizen 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":[0.001949318,0.000471753,0.000237311,0.004314725,0.001505596,0.001479434,0.0008270525,0.0003617521,0.005080015],"category_scores_gemma":[0.003090488,0.0002541503,0.0002920615,0.00673621,0.0004057596,0.0007357365,0.0008143468,0.0003558522,0.001159972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009849335,"about_ca_system_score_gemma":0.01982165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.95007,"about_ca_topic_score_gemma":0.9720063,"domain_scores_codex":[0.9986113,0.0001270493,0.0000730426,0.0001480806,0.0008753989,0.0001650289],"domain_scores_gemma":[0.9972847,0.0004615803,0.0001063475,0.00008484807,0.001853223,0.0002093739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001855206,0.0001722951,0.04727612,0.001057917,0.00004947949,0.000180526,0.002398764,0.0009031724,0.008853598,0.00224071,0.04075975,0.8959222],"study_design_scores_gemma":[0.0000784119,0.0004402063,0.6763934,0.001071948,0.0002499484,0.0005077196,0.007019165,0.008375897,0.01797609,0.002119106,0.2855907,0.0001774761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4391411,0.03810495,0.07367276,0.006569424,0.0006642682,0.002626974,0.03290347,0.005272396,0.4010447],"genre_scores_gemma":[0.6442025,0.03967101,0.1391851,0.0006869826,0.0000898616,0.001043169,0.0127671,0.0003227324,0.1620316],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04992998,"threshold_uncertainty_score":0.100448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0570393693473027,"score_gpt":0.2817512640042626,"score_spread":0.2247118946569599,"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."}}