{"id":"W7111392916","doi":"10.1371/journal.pstr.0000165.s001","title":"AGI methodology.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Sustainability; Deliberation; Set (abstract data type); Production (economics); Explanatory power","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":[0.01126293,0.001434577,0.0008562625,0.006379101,0.001679898,0.006684482,0.004121308,0.0025858,0.2974858],"category_scores_gemma":[0.02742266,0.001009463,0.001893155,0.008968889,0.001552806,0.004480691,0.005588263,0.003086395,0.1530164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002936618,"about_ca_system_score_gemma":0.004910874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005572173,"about_ca_topic_score_gemma":0.006569056,"domain_scores_codex":[0.9916502,0.003833127,0.001057662,0.001022157,0.002026568,0.0004103069],"domain_scores_gemma":[0.9832339,0.008498847,0.0008790561,0.003162627,0.003745455,0.0004801626],"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":[0.0001090664,0.00006962498,0.00108877,0.001812734,0.0000684112,0.0001578803,0.002928235,0.0009935917,0.0004699621,0.2195697,0.5418347,0.2308974],"study_design_scores_gemma":[0.00001251272,0.00001227382,0.0006153597,0.0003400829,0.00001251919,0.00007668715,0.0004566001,0.0007924962,0.0002464834,0.02793124,0.9694887,0.00001507987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001954547,0.002059599,0.3464568,0.006661986,0.002122876,0.002880476,0.07656078,0.02962788,0.531675],"genre_scores_gemma":[0.03024037,0.002515034,0.6618149,0.003752847,0.0007623589,0.01350672,0.06694759,0.02647994,0.1939803],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2974858,"threshold_uncertainty_score":0.9951892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08807824279556899,"score_gpt":0.3367345103165489,"score_spread":0.24865626752098,"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."}}