{"id":"W4245893378","doi":"10.3410/f.717992245.793473596","title":"Faculty Opinions recommendation of Interdisciplinary Perspectives on Urban Metabolism.","year":2013,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Data science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107934,0.001094893,0.0009877726,0.003606708,0.000652291,0.002802687,0.001502037,0.001226397,0.2754367],"category_scores_gemma":[0.008355948,0.0003318305,0.000829662,0.006823577,0.0002308507,0.001431504,0.002028706,0.001210512,0.1669579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490108,"about_ca_system_score_gemma":0.003670854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02780429,"about_ca_topic_score_gemma":0.1020376,"domain_scores_codex":[0.999196,0.00012619,0.00007741078,0.000162647,0.0002920862,0.0001456983],"domain_scores_gemma":[0.9955432,0.0007321531,0.0003250495,0.0004897025,0.001844482,0.001065444],"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":[0.00001765041,0.000006898211,0.0004894817,0.00008970897,0.000004219676,0.000004750726,0.000006516301,0.00003001658,0.00001934943,0.000111054,0.9966795,0.002540762],"study_design_scores_gemma":[0.00003726203,0.000004487787,0.004584183,0.0001373117,0.000008892948,0.00001413366,0.00008013957,0.0001281958,0.00009952969,0.0004685687,0.994428,0.000009298423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003973252,0.0002237786,0.0002146169,0.001307867,0.0004506694,0.00003681891,0.9782562,0.0003610713,0.01875172],"genre_scores_gemma":[0.002774365,0.0005030459,0.00082914,0.0005965221,0.0003376665,0.0001227182,0.9668601,0.0002715404,0.02770485],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2754367,"threshold_uncertainty_score":0.9214275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03526603987928061,"score_gpt":0.3582004045897268,"score_spread":0.3229343647104462,"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."}}