{"id":"W4406179229","doi":"10.3389/fmars.2024.1482873","title":"Hook, line, and social media: crowd-sourced images reveal size and species patterns of ocean sunfishes (Tetraodontiformes, Molidae) from California to Alaska","year":2025,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada; National Oceanic and Atmospheric Administration","keywords":"Hook; Biology; Line (geometry); Social media; Oceanography; Fishery; Computer science; World Wide Web; Geology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003543876,0.0001140206,0.0001747686,0.0001570545,0.0001328701,0.00008011557,0.0002860174,0.00007099398,0.00001471515],"category_scores_gemma":[0.000476409,0.0001135714,0.00002792512,0.0002765259,0.0004607023,0.00001345134,0.0003346112,0.0000752932,8.281259e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001928402,"about_ca_system_score_gemma":0.00007689142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003948588,"about_ca_topic_score_gemma":0.00005012602,"domain_scores_codex":[0.998906,0.00003196388,0.0002740826,0.0004225863,0.0001745013,0.0001908965],"domain_scores_gemma":[0.9994786,0.00003296789,0.00008320765,0.0002249221,0.0001187762,0.00006157605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005612389,0.00004038859,0.7932469,0.00004421503,0.0000182865,7.314084e-7,0.0005080209,0.000003673382,0.1893036,0.0001196411,0.01176283,0.004895622],"study_design_scores_gemma":[0.0003176584,0.00002109317,0.7978849,0.00001592636,0.00001074419,6.480037e-7,0.0009793813,0.00001428821,0.1961996,0.0002625136,0.004175658,0.0001176453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952306,0.00007843197,0.002656752,0.0008754912,0.0004084007,0.0001327307,0.0001554196,0.000007906939,0.0004543254],"genre_scores_gemma":[0.9895967,0.0001137488,0.008020022,0.0001735383,0.0000606688,0.000005486927,0.00006395059,0.000006448278,0.001959473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007587177,"threshold_uncertainty_score":0.4631309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007824802589035016,"score_gpt":0.2349856907111619,"score_spread":0.2271608881221269,"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."}}