{"id":"W4394322839","doi":"10.6084/m9.figshare.2061057","title":"Coat color Study.xlsx","year":2016,"lang":"en","type":"dataset","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; Materials science; Composite material","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":[],"category_scores_codex":[0.001275728,0.002090146,0.001532958,0.004003969,0.0008968453,0.003530742,0.002360052,0.001960394,0.5223307],"category_scores_gemma":[0.009817017,0.0008931651,0.001426058,0.005721055,0.0005890426,0.002609196,0.002676265,0.001626438,0.3372512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082375,"about_ca_system_score_gemma":0.002243088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319326,"about_ca_topic_score_gemma":0.02457672,"domain_scores_codex":[0.9990149,0.0001175079,0.0001775482,0.0003548361,0.0001697714,0.0001653859],"domain_scores_gemma":[0.9945996,0.002162697,0.0005624829,0.001177503,0.001087764,0.0004100012],"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":[0.00007303802,0.00001684201,0.0009258288,0.001039628,0.00002624601,0.00001823725,0.00002524868,0.00007556679,0.0000968264,0.0002911141,0.9955221,0.001889386],"study_design_scores_gemma":[0.0003102415,0.00001688438,0.005281691,0.000486161,0.00003645861,0.00004187353,0.0001063002,0.0001123256,0.0003417102,0.001234446,0.9919907,0.00004117932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003138584,0.00001108028,0.0000297536,0.00002974648,0.00001909908,0.00001042491,0.9991778,0.0002227474,0.0004680116],"genre_scores_gemma":[0.0005786021,0.00005943359,0.0005197776,0.0001256773,0.00002474482,0.0001999221,0.9953161,0.0005501188,0.002625541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5223307,"threshold_uncertainty_score":0.6813372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09796310801772475,"score_gpt":0.2672972218925014,"score_spread":0.1693341138747767,"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."}}