{"id":"W4398279783","doi":"10.7910/dvn/fmk6sq/lbzdnx","title":"249770_5S2(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; Art; Pathology; Physics; Chemistry; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001114162,0.003573024,0.002345378,0.004699222,0.001220155,0.003804095,0.004040729,0.003765194,0.425987],"category_scores_gemma":[0.008504136,0.001162909,0.002185432,0.006810566,0.0007119403,0.002220077,0.002965891,0.002075182,0.3711411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002260011,"about_ca_system_score_gemma":0.002419156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04200447,"about_ca_topic_score_gemma":0.05305799,"domain_scores_codex":[0.9990308,0.0001529858,0.00009105008,0.0003139759,0.000172263,0.0002389302],"domain_scores_gemma":[0.997347,0.0009351313,0.0002455599,0.0004740762,0.0006323831,0.0003658801],"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":[0.00004745648,0.00001075965,0.0002760879,0.000604511,0.00002072678,0.00001006289,0.00001469892,0.0001141383,0.00004988636,0.0002391898,0.9976193,0.0009929705],"study_design_scores_gemma":[0.0004801699,0.00002955868,0.002903114,0.0005879449,0.00004928136,0.00005973307,0.00007268526,0.0002895841,0.0003028177,0.001662088,0.9935145,0.00004840026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002850786,0.00004941413,0.00002232128,0.00005879271,0.00002013047,0.000004979682,0.9990397,0.0002691969,0.0005069735],"genre_scores_gemma":[0.0003092324,0.00008166057,0.0001265343,0.0001123258,0.00001710139,0.00005702197,0.998022,0.0001864113,0.001087642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.574013,"threshold_uncertainty_score":0.8187598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571127161331937,"score_gpt":0.2654573484545668,"score_spread":0.2397460768412474,"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."}}