{"id":"W7014649211","doi":"","title":"Preliminary experiments on application of participatory GIS in trawl
\\nfisheries of Karnataka and its prospects in marine fisheries resource
\\nconservation and management","year":2012,"lang":"en","type":"article","venue":"Eprints@CMFRI Open Access Institutional Repository (Central Marine Fisheries Research Institute)","topic":"Fisheries and Aquaculture Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Central Marine Fisheries Research Institute","keywords":"Trawling; Participatory GIS; Geospatial analysis; Fishing; Artisanal fishing; Resource (disambiguation); Geographic information system; Fisheries management; Marine conservation; Citizen journalism","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":[0.009214775,0.0007405371,0.0003133621,0.0005824196,0.001850791,0.00179994,0.00131647,0.0008470733,0.006762076],"category_scores_gemma":[0.01424017,0.0004309961,0.0004891906,0.0007373969,0.001943872,0.002212987,0.002011692,0.001026879,0.0006525609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177043,"about_ca_system_score_gemma":0.003391761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01546373,"about_ca_topic_score_gemma":0.02753576,"domain_scores_codex":[0.9959856,0.00265695,0.0001383996,0.0004816305,0.0003378768,0.0003994883],"domain_scores_gemma":[0.9830183,0.01182203,0.000571685,0.001332911,0.001821182,0.001433947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.005584409,0.04506931,0.1194656,0.002699402,0.0001278019,0.00234308,0.4234703,0.01097082,0.04854268,0.01381151,0.005789747,0.3221253],"study_design_scores_gemma":[0.001435653,0.0575815,0.3764765,0.00116227,0.0003897777,0.0005602331,0.4206215,0.03350814,0.03175081,0.008662282,0.06743301,0.000418196],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838074,0.00002820591,0.002807544,0.0002213938,0.00001788751,0.00160615,0.0001157783,0.00005478835,0.01134071],"genre_scores_gemma":[0.9663027,0.0001531146,0.02598571,0.0001185688,0.000009517764,0.002066136,0.0002079231,0.00001564683,0.005140539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01546373,"threshold_uncertainty_score":0.04873294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1206925324694909,"score_gpt":0.3621897818114091,"score_spread":0.2414972493419182,"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."}}