{"id":"W6904136748","doi":"10.1371/journal.pclm.0000520.s001","title":"S1 Text -","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomass (ecology); Climate change; Climate model; Bathymetry; Global warming; Habitat","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":[0.002557136,0.001929848,0.002129395,0.005996008,0.001907805,0.004668427,0.004353372,0.003050499,0.9447822],"category_scores_gemma":[0.01945298,0.001474283,0.001673495,0.006664953,0.001016064,0.004525572,0.003943659,0.002772617,0.7580495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002561804,"about_ca_system_score_gemma":0.004481963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01549686,"about_ca_topic_score_gemma":0.02107128,"domain_scores_codex":[0.9982115,0.000196225,0.0002604279,0.0004556999,0.0006337847,0.0002423035],"domain_scores_gemma":[0.9901941,0.003947767,0.0007605368,0.0008852637,0.003476299,0.0007359518],"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":[0.00005321654,0.00002091438,0.0002743197,0.001443452,0.00001307601,0.00005399877,0.00003505694,0.0002772972,0.0001530232,0.0008956988,0.9850847,0.01169513],"study_design_scores_gemma":[0.0001436951,0.00004135839,0.001499563,0.0008521836,0.0000145837,0.0001054288,0.0001235016,0.0004963151,0.0002552956,0.00364319,0.9927896,0.00003513752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003133087,0.0003395916,0.001649991,0.001378674,0.001616556,0.0003932209,0.9482194,0.003679839,0.04240939],"genre_scores_gemma":[0.003862453,0.001016839,0.005579986,0.003226459,0.0007805455,0.001627301,0.854897,0.004186156,0.1248233],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0552178,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03397794596440802,"score_gpt":0.2699058097068202,"score_spread":0.2359278637424121,"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."}}