{"id":"W4398547769","doi":"10.7910/dvn/fmk6sq/6vnirn","title":"635020_5(Colour_1).tif","year":2020,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"Skin Protection and Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Methylene blue; Degree (music); Staining; Lymph; Pathology; Computer science; Chemistry; Medicine; Physics; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004830035,0.0007673693,0.001026005,0.0002875675,0.000329787,0.0001769469,0.0007802434,0.0006929789,0.2056934],"category_scores_gemma":[0.001698754,0.0007895167,0.0003695505,0.000591793,0.0003154722,0.0003432455,0.0008286655,0.002013876,0.8999279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004066435,"about_ca_system_score_gemma":0.0005079666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004005073,"about_ca_topic_score_gemma":0.00005518079,"domain_scores_codex":[0.9959528,0.0002812709,0.0008030868,0.001215451,0.0007811078,0.0009662706],"domain_scores_gemma":[0.9964374,0.0002164791,0.0003896244,0.001809291,0.0001373644,0.001009843],"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":[0.0003031015,0.0002627529,0.00005436007,0.00107126,0.0004186346,0.003353277,0.00013197,0.00000709843,0.0004166435,0.0002018087,0.9888427,0.004936451],"study_design_scores_gemma":[0.002414167,0.0003346158,0.0001769181,0.001410631,0.001088087,0.0004554966,0.0006007195,0.0004452627,0.0003593152,0.00002372313,0.9919628,0.0007282495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003181585,0.00001942279,0.0004665189,0.0004798122,0.008009694,0.001135019,0.9874581,0.0002190143,0.002180674],"genre_scores_gemma":[0.0001266719,0.001472983,0.0009889237,0.007859346,0.005391679,0.0000806376,0.9782451,0.00009841131,0.005736263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6942345,"threshold_uncertainty_score":0.9994556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533278876535922,"score_gpt":0.2655715071463198,"score_spread":0.2402387183809606,"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."}}