{"id":"W2223086932","doi":"10.6084/m9.figshare.2061057.v1","title":"Coat color Study.xlsx","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coat; White coat; Medicine; Geology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001433698,0.001557908,0.00144994,0.003415246,0.001414881,0.003302347,0.002237134,0.001715976,0.9300697],"category_scores_gemma":[0.009840592,0.001002213,0.001319941,0.003802772,0.0005922379,0.003818731,0.002092959,0.001817226,0.6542661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007008945,"about_ca_system_score_gemma":0.001565038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004771949,"about_ca_topic_score_gemma":0.007551525,"domain_scores_codex":[0.9991471,0.00008554505,0.0001134711,0.0001973876,0.0003222906,0.000134195],"domain_scores_gemma":[0.9923649,0.002953676,0.0003623244,0.001223637,0.002604718,0.0004907642],"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":[0.0001107624,0.00004471842,0.0004237083,0.0004217089,0.00001197578,0.00005286644,0.00004068258,0.00004511284,0.0004007339,0.0005964492,0.9885272,0.009324049],"study_design_scores_gemma":[0.0002470195,0.00003180567,0.005034022,0.0002605967,0.00002178222,0.0001351762,0.0001365241,0.0002299572,0.001499061,0.002140629,0.9902125,0.00005093022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000938959,0.0001403174,0.003652755,0.001344407,0.001829415,0.0006604461,0.8726529,0.02642924,0.09235152],"genre_scores_gemma":[0.01506189,0.0005491972,0.03045252,0.003313742,0.001257925,0.002826809,0.6086624,0.06055674,0.2773187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06993032,"threshold_uncertainty_score":0.099747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105951888736828,"score_gpt":0.2428324137111177,"score_spread":0.1368805249742897,"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."}}