{"id":"W6979939637","doi":"","title":"Analysis of stroboscopic variations in a normal sample","year":2002,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Stroboscope; Noise (video); Spectral analysis","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":[0.0004057215,0.0001964696,0.0001759038,0.001511428,0.0003215947,0.0003076586,0.0002026789,0.000249869,0.004421429],"category_scores_gemma":[0.001621034,0.0001114302,0.00009117035,0.000531833,0.0003640803,0.0001051326,0.0001548982,0.0001312602,0.0006979181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338101,"about_ca_system_score_gemma":0.0001835692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002334749,"about_ca_topic_score_gemma":0.002087786,"domain_scores_codex":[0.9997187,0.00005382369,0.00002817932,0.00008993868,0.00006573782,0.00004361994],"domain_scores_gemma":[0.9995776,0.0001560039,0.0000472521,0.00004538975,0.0001230693,0.00005059229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002359218,0.0003197721,0.2889011,0.0001931077,0.00012332,0.006812943,0.001570417,0.000134448,0.5913972,0.000732592,0.002301379,0.1051546],"study_design_scores_gemma":[0.00004729548,0.0007477617,0.9440528,0.00001662501,0.00006599593,0.01195232,0.0005531211,0.0005185139,0.03536284,0.0002543804,0.006413949,0.00001428082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939111,0.0005791902,0.001399305,0.00006769396,0.00002883264,0.00003529914,0.0002852565,0.00005982819,0.003633461],"genre_scores_gemma":[0.9955499,0.0002673349,0.001492197,0.00003610549,0.00001847515,0.00002707536,0.0002357085,0.00002699039,0.002346176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004421429,"threshold_uncertainty_score":0.01479119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468212745165561,"score_gpt":0.2863968006245404,"score_spread":0.2617146731728848,"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."}}