{"id":"W2807472118","doi":"10.1111/fme.12293","title":"Identifying recreational fisheries in the Mediterranean Sea through social media","year":2018,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Hrvatska Zaklada za Znanost","keywords":"Fishing; Recreational fishing; Recreation; Fishery; Geography; Homogeneous; Mediterranean climate; Mediterranean sea; Complement (music); Thematic map; Variety (cybernetics); Fish stock; Environmental resource management; Ecology; Environmental science; Computer science; Biology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006769339,0.0002065075,0.0001483598,0.00251735,0.0001637906,0.0007145937,0.0002437682,0.0002377948,0.002208017],"category_scores_gemma":[0.002794051,0.000074788,0.0001415518,0.001813856,0.0001618239,0.000788967,0.0006635585,0.0001339643,0.0004023899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002353767,"about_ca_system_score_gemma":0.0001376898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007806066,"about_ca_topic_score_gemma":0.01334185,"domain_scores_codex":[0.9996094,0.0001385671,0.00004532329,0.00006349529,0.00009230249,0.00005094056],"domain_scores_gemma":[0.9978678,0.0006665876,0.0008137352,0.0001342291,0.0004016144,0.0001160288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001180657,0.00006619008,0.9406719,0.0002350371,0.00008579644,0.0002419923,0.001909191,0.0003054521,0.001946747,0.0001469741,0.002144863,0.05212784],"study_design_scores_gemma":[0.000003673869,0.00006635849,0.9884278,0.0001084935,0.00002467765,0.0001060532,0.005783276,0.001370075,0.000484288,0.00008388164,0.003530675,0.00001065494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911271,0.0001542934,0.0004154004,0.00009437352,0.00001259578,0.00004501336,0.004720321,0.00001623414,0.003414699],"genre_scores_gemma":[0.9951735,0.000203988,0.001051657,0.00003038098,0.00002622924,0.0000603255,0.002533052,0.000004390663,0.000916426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007806066,"threshold_uncertainty_score":0.01552123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05905020549499096,"score_gpt":0.2854048946472641,"score_spread":0.2263546891522731,"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."}}