{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000154337,0.0001504636,0.0002338958,0.00008195197,0.0000440678,0.0003995378,0.001339891,0.0001249515,0.00001493523],"category_scores_gemma":[0.0000357654,0.0001521782,0.00001385771,0.000103687,0.0000222424,0.0002803963,0.0006131979,0.0001522423,0.0000011636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002161343,"about_ca_system_score_gemma":0.0003922071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8639349,"about_ca_topic_score_gemma":0.973421,"domain_scores_codex":[0.9991168,0.00002054044,0.0001360827,0.0004013822,0.0001005395,0.0002246508],"domain_scores_gemma":[0.9993631,0.0001430866,0.00008772467,0.0003798004,0.000009307693,0.00001694772],"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":[0.00001135997,0.00004895498,0.02869801,0.0002346168,0.00005353831,0.00004532366,0.001336803,0.00009935479,0.0003104404,0.00006841581,0.1551347,0.8139585],"study_design_scores_gemma":[0.0005323863,0.00005986975,0.001941466,0.001497045,0.00001485952,0.000007250863,0.003039311,0.002835426,0.02414951,0.0006476814,0.9643542,0.0009209433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3682489,0.008166969,0.04658586,0.00691989,0.00570274,0.008034734,0.0004781843,0.0002391424,0.5556236],"genre_scores_gemma":[0.373923,0.00008088358,0.3480082,0.00003067673,0.0001826287,0.0002951592,0.00001118729,0.0002280888,0.2772401],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8130375,"threshold_uncertainty_score":0.6205646,"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."}}