{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000404828,0.0004129415,0.0009994436,0.0008743032,0.0001166017,0.0001017567,0.0004029577,0.0002557409,0.04258411],"category_scores_gemma":[0.001105462,0.0003572962,0.0005921177,0.001446995,0.0003904372,0.0001301111,0.000277451,0.0006092333,0.1303668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000743547,"about_ca_system_score_gemma":0.0001653457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007857949,"about_ca_topic_score_gemma":0.0001344798,"domain_scores_codex":[0.9975799,0.0001004283,0.0004996235,0.0008335091,0.0005945823,0.0003920012],"domain_scores_gemma":[0.9972215,0.0001636797,0.0003158208,0.001548627,0.0004426451,0.000307679],"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":[0.0001220248,0.0001293761,0.0003193181,0.0001318544,0.003369103,0.0005215793,0.00001439121,9.478553e-7,0.000007539647,0.000001223948,0.9950879,0.000294784],"study_design_scores_gemma":[0.0002098254,0.000153534,0.000214141,0.0003987029,0.02646802,0.00005492218,0.0001169413,0.0002390397,0.00009830549,0.000006691264,0.9716972,0.0003426692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007779938,0.000004258685,0.0004758679,0.00001628499,0.0001636035,0.0001877152,0.9983394,0.00005889438,0.0006761985],"genre_scores_gemma":[0.0003794194,0.0006628085,0.0003250047,0.0008776193,0.0005463386,0.00001389747,0.995833,0.00002297959,0.001338949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0877827,"threshold_uncertainty_score":0.9998879,"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."}}