{"id":"W7119511700","doi":"10.1002/alz70856_107124","title":"Every Centiloid, from Everywhere, All at Once","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cutoff; Cohort; Cohort study; Gaussian; Clinical Practice; Contrast (vision); Interpretation (philosophy)","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":[0.05988045,0.001557489,0.003310013,0.006781307,0.001186812,0.00938748,0.003379661,0.001952404,0.01971272],"category_scores_gemma":[0.1380357,0.001472106,0.003961284,0.007269657,0.003045793,0.005053003,0.004746076,0.003213329,0.00676067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002180215,"about_ca_system_score_gemma":0.005044565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005016197,"about_ca_topic_score_gemma":0.005142945,"domain_scores_codex":[0.9614284,0.02403483,0.003388822,0.005763538,0.004582763,0.0008016442],"domain_scores_gemma":[0.8809747,0.07186002,0.01193652,0.01840398,0.01496425,0.001860625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006325631,0.0000777801,0.05707234,0.03553845,0.01220654,0.0005121082,0.004087643,0.003978672,0.004598691,0.03666745,0.2097774,0.6291574],"study_design_scores_gemma":[0.0007660785,0.000741848,0.04271514,0.02096935,0.011237,0.001566489,0.001406351,0.005661903,0.008561191,0.08012738,0.8254989,0.0007484558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07256569,0.2754262,0.3714079,0.06056195,0.008694804,0.001866707,0.1296956,0.02409643,0.05568472],"genre_scores_gemma":[0.5188009,0.06637809,0.2892872,0.0290671,0.005323043,0.005403508,0.05330592,0.0124594,0.01997492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05988045,"threshold_uncertainty_score":0.3166819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813900208496995,"score_gpt":0.3214921171099209,"score_spread":0.293353115024951,"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."}}