{"id":"W6976478972","doi":"10.60692/k5rpj-0j774","title":"The NOW Database of Fossil Mammals","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Linguistics and Language Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Consistency (knowledge bases); Scale (ratio); Focus (optics); Fossil Record; Taxon","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":[0.00105674,0.0007175916,0.001038176,0.008953799,0.0007000927,0.003014743,0.001999162,0.0008134402,0.08874884],"category_scores_gemma":[0.005950093,0.0005644062,0.0005334106,0.01123759,0.0004421211,0.003511875,0.002195082,0.0011007,0.05194619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008002791,"about_ca_system_score_gemma":0.002724988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006859833,"about_ca_topic_score_gemma":0.008161932,"domain_scores_codex":[0.9990251,0.0001106763,0.0002749829,0.0002535032,0.0002658505,0.0000698622],"domain_scores_gemma":[0.9964722,0.000762026,0.0004536932,0.001026253,0.0008827234,0.0004031842],"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":[0.0004442203,0.00009506285,0.01237081,0.002913354,0.00009661025,0.0005052509,0.0009448625,0.001065105,0.003832955,0.01967843,0.8059015,0.1521519],"study_design_scores_gemma":[0.00002604582,0.00001473135,0.007503088,0.0002178235,0.00002587859,0.0002826029,0.0001438914,0.0002446331,0.0004825968,0.002205287,0.9888335,0.00001981454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004232944,0.001519535,0.004770199,0.0002958887,0.0001179009,0.0001272633,0.9558638,0.003544278,0.02952823],"genre_scores_gemma":[0.006393836,0.0008641843,0.007358408,0.0001344841,0.00005247627,0.0001622032,0.9790667,0.0005900626,0.005377633],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08874884,"threshold_uncertainty_score":0.2968944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04709705366775726,"score_gpt":0.2188515699519545,"score_spread":0.1717545162841973,"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."}}