{"id":"W4394331575","doi":"10.6084/m9.figshare.21774514","title":"Normative data for the Color Trails Test in middle-aged and elderly Quebec-French people","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Normative; Test (biology); Gerontology; Psychology; Geography; Medicine; Political science; Law; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00220425,0.001403609,0.001163974,0.006366997,0.001501018,0.001508513,0.002313657,0.0009685931,0.02341136],"category_scores_gemma":[0.01429867,0.0004683154,0.001010548,0.008441487,0.0004343294,0.0005478661,0.0008515688,0.001040493,0.008598422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00820239,"about_ca_system_score_gemma":0.009254717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9054112,"about_ca_topic_score_gemma":0.8931444,"domain_scores_codex":[0.9987004,0.0001642684,0.0001404627,0.0003221686,0.0004510207,0.0002217514],"domain_scores_gemma":[0.9898768,0.001299608,0.0006330333,0.001211208,0.006471958,0.0005072929],"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":[0.0004407667,0.0001075769,0.07544901,0.0007674033,0.0002839398,0.0001235299,0.0001477756,0.001473116,0.000201535,0.0009824126,0.8901633,0.02985949],"study_design_scores_gemma":[0.0005643615,0.00005996346,0.5549058,0.001106803,0.0002113586,0.0002615946,0.0002967535,0.002060201,0.000507215,0.0009036076,0.4390009,0.0001213571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005847662,0.0002405149,0.0003382039,0.00007332456,0.00002647452,0.0001036865,0.9912398,0.000308549,0.001821705],"genre_scores_gemma":[0.01262709,0.0001713589,0.0007823175,0.00004573589,0.0000106685,0.000585934,0.9839548,0.00008739764,0.001734669],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09458876,"threshold_uncertainty_score":0.1902916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1589493599377901,"score_gpt":0.3520795986327399,"score_spread":0.1931302386949498,"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."}}