{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000836178,0.0003187535,0.0005042942,0.0001153266,0.0005403347,0.0003225371,0.000897666,0.0001503392,0.0001440301],"category_scores_gemma":[0.0002679918,0.0001946865,0.00005535919,0.0007605625,0.001218642,0.002963864,0.003341756,0.0003771276,0.000002071361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002084732,"about_ca_system_score_gemma":0.00006151634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009737033,"about_ca_topic_score_gemma":0.007628346,"domain_scores_codex":[0.9968691,0.00024624,0.0008246194,0.0006479564,0.0007241834,0.0006878566],"domain_scores_gemma":[0.9989778,0.0001545208,0.0002533475,0.0002141141,0.0001897279,0.0002104406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001390077,0.000806474,0.9661137,0.0003849062,0.00005867299,0.00003598301,0.0009815703,0.00004136541,0.0040367,0.01017324,0.0002711463,0.01570615],"study_design_scores_gemma":[0.0006835691,0.0002996258,0.9608467,0.0001986253,0.00001178835,0.00001410337,0.001136154,0.00006966266,0.01034718,0.0005089628,0.0256141,0.0002695234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96425,0.0002102129,0.000001894598,0.001146538,0.0001855033,0.00164574,0.000024739,0.00002373952,0.03251166],"genre_scores_gemma":[0.9976996,0.0006639123,0.0001580937,0.00006449163,0.0001309749,0.0006521111,0.0001056452,0.000005435576,0.0005197073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03344965,"threshold_uncertainty_score":0.9968572,"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."}}