{"id":"W6885854006","doi":"10.1371/journal.pone.0295402.s001","title":"S1 File -","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carapace; Fishing; Sampling (signal processing); Range (aeronautics); Seasonal breeder; Decapoda; American lobster; Distribution (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002142947,0.001188564,0.001381992,0.003232246,0.001063579,0.002418139,0.002812722,0.001399222,0.8805104],"category_scores_gemma":[0.02521654,0.0009923257,0.0007878499,0.005206191,0.0004153067,0.003032377,0.002345927,0.001228585,0.5433657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429608,"about_ca_system_score_gemma":0.002779948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01491752,"about_ca_topic_score_gemma":0.02366742,"domain_scores_codex":[0.9989769,0.0001085434,0.0001498804,0.0002924558,0.0002700586,0.0002020428],"domain_scores_gemma":[0.9845131,0.007755134,0.0009519267,0.001470239,0.004474079,0.0008354392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000731345,0.00003642331,0.001201494,0.0006988712,0.000009236672,0.00001842282,0.00003828436,0.00009877834,0.00007614523,0.0003041464,0.9923714,0.005073632],"study_design_scores_gemma":[0.0006122126,0.00007330465,0.01087101,0.0009904649,0.00002674756,0.0001107571,0.0003538274,0.0005973652,0.0005718238,0.003066783,0.9826607,0.00006500046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000125017,0.00001164976,0.0001928402,0.00005997601,0.00004038267,0.00005247365,0.9968516,0.0007685318,0.001897475],"genre_scores_gemma":[0.001970195,0.00006413789,0.002438693,0.0003260438,0.00005121805,0.0006892119,0.9822016,0.001931787,0.01032707],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1194896,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211875278478617,"score_gpt":0.2383466448059331,"score_spread":0.2062278920211469,"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."}}