{"id":"W4412221671","doi":"","title":"Science advisors of the world united","year":2024,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fonds de recherche du Québec; Fonds de Recherche du Québec - Santé","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":[0.00652394,0.001248457,0.001074494,0.003513062,0.002648574,0.005653847,0.00149374,0.006459375,0.2500873],"category_scores_gemma":[0.02302188,0.000632796,0.0009183261,0.002868705,0.001257114,0.003312577,0.003665192,0.006431152,0.1451933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002887307,"about_ca_system_score_gemma":0.01037945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006137036,"about_ca_topic_score_gemma":0.01018016,"domain_scores_codex":[0.9948415,0.001059251,0.0003203706,0.0009693222,0.002070938,0.0007386729],"domain_scores_gemma":[0.9819677,0.002085315,0.001270389,0.001795079,0.007795499,0.00508608],"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":[0.00006425126,0.00001808423,0.0003014989,0.0001426692,0.0000104336,0.00005335407,0.00004537036,0.00002531862,0.0002732965,0.006579796,0.9559544,0.03653147],"study_design_scores_gemma":[0.000004215099,0.000006498359,0.0001973139,0.00007575462,0.000003748236,0.0000238587,0.00002193014,0.00001034661,0.00009163793,0.0005277155,0.9990348,0.000002290329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001062035,0.0492357,0.001784674,0.2125013,0.1125586,0.0001896278,0.006025477,0.0006728958,0.6159697],"genre_scores_gemma":[0.01202647,0.0375844,0.003352794,0.05086398,0.01703887,0.0003120856,0.007074885,0.0005362752,0.8712102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2500873,"threshold_uncertainty_score":0.8366252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399194743106898,"score_gpt":0.2952863564926993,"score_spread":0.2812944090616303,"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."}}