{"id":"W6904478363","doi":"10.1371/journal.pone.0235368.s001","title":"Haul characteristics in mean depth, duration, quarter and total catch weight.","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Fishing; Statistical analysis; Data collection","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":[0.0003415081,0.0001840327,0.0001542983,0.001093386,0.0001983967,0.0004095448,0.0002725178,0.0002134062,0.01309504],"category_scores_gemma":[0.001702462,0.00007812079,0.0002944152,0.001145944,0.000191743,0.0005167791,0.0004951261,0.0002298378,0.002669016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762451,"about_ca_system_score_gemma":0.0001112254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005262884,"about_ca_topic_score_gemma":0.01006255,"domain_scores_codex":[0.9998237,0.00002505265,0.00002202303,0.0000482617,0.00002479821,0.00005606828],"domain_scores_gemma":[0.9985398,0.0002649729,0.000547002,0.0001094761,0.0002276521,0.0003112357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005902097,0.00007227205,0.9803734,0.00002937789,0.000119158,0.0001966438,0.0003278583,0.0003974719,0.001126192,0.0002422808,0.00233257,0.01419261],"study_design_scores_gemma":[0.00000243435,0.0001216361,0.9974077,0.000006019711,0.00001123995,0.0001763208,0.0004207366,0.0002165561,0.0001134998,0.00006846927,0.001447558,0.000007671577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788263,0.0002510188,0.0004817142,0.00006070862,0.00001417108,0.00002607201,0.01384901,0.00004119956,0.006449864],"genre_scores_gemma":[0.9916823,0.000051207,0.0001772693,0.00002486934,0.000005430376,0.0000233994,0.003407793,0.00001407295,0.004613521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01309504,"threshold_uncertainty_score":0.04380733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494195208233404,"score_gpt":0.2304723267741999,"score_spread":0.2055303746918658,"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."}}