{"id":"W4398651596","doi":"10.7910/dvn/bsungb/uxolsq","title":"cognitive intelligence retest analysis.R","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cognition; Intelligence analysis; Psychology; Cognitive psychology; Computer science; Neuroscience; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.005604892,0.003573427,0.002330191,0.003557463,0.00102484,0.003046578,0.005717427,0.002013123,0.0791072],"category_scores_gemma":[0.02925915,0.00110961,0.002657395,0.003046192,0.0009374343,0.001156201,0.002771183,0.002515406,0.1039148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135044,"about_ca_system_score_gemma":0.00331797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01072706,"about_ca_topic_score_gemma":0.02581198,"domain_scores_codex":[0.9978383,0.0005307457,0.0003031614,0.0006830373,0.000393135,0.0002516021],"domain_scores_gemma":[0.9881146,0.004992348,0.001012436,0.003516403,0.00183953,0.0005246802],"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":[0.0003041661,0.00005135011,0.001949343,0.001112116,0.0002810202,0.00004124059,0.00003276543,0.0003499913,0.0001783558,0.0004215305,0.9892483,0.006029756],"study_design_scores_gemma":[0.003166755,0.0001953061,0.0125704,0.001250845,0.0008848787,0.0003544005,0.00007151945,0.002763129,0.001944239,0.008458789,0.9681754,0.0001644112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001011361,0.0002829077,0.001215751,0.0002295016,0.00008370993,0.0001422393,0.9909359,0.004628818,0.00146984],"genre_scores_gemma":[0.005289222,0.000210744,0.004143151,0.0003178236,0.00006181368,0.0013956,0.9827662,0.002098705,0.003716726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0791072,"threshold_uncertainty_score":0.2646399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662715609699143,"score_gpt":0.3171961033231502,"score_spread":0.2905689472261587,"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."}}