{"id":"W2081123002","doi":"10.1177/001698620004400305","title":"Finding “g”: Easy Viewing Through Higher Order Factor Analysis","year":2000,"lang":"en","type":"article","venue":"Gifted Child Quarterly","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Psychology; Oblique case; Factor (programming language); Factor analysis; Cognition; Social psychology; Cognitive psychology; Statistics; Mathematics; Computer science","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":[0.0001119894,0.0002801496,0.0004092291,0.0001543693,0.0002950615,0.00008775999,0.0002061975,0.0001391303,0.0895965],"category_scores_gemma":[0.00001970045,0.0002647897,0.0002884803,0.001262617,0.00008161573,0.0002075395,0.00001041316,0.000326083,0.001362231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003781979,"about_ca_system_score_gemma":0.00001269725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003753444,"about_ca_topic_score_gemma":0.00004699527,"domain_scores_codex":[0.9979987,0.0001717871,0.0004243077,0.0005958949,0.0002099982,0.0005993],"domain_scores_gemma":[0.9989602,0.0002534212,0.0001026404,0.0005031502,0.00008473438,0.00009583393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002596225,0.0008190827,0.09463651,0.0000580836,0.005438298,0.0001864552,0.07729357,0.00005030065,0.00008670687,0.006317216,0.003723656,0.8111305],"study_design_scores_gemma":[0.001964707,0.000843133,0.8534464,0.0001104811,0.0009901909,0.00003531219,0.003161275,0.0001420953,0.00001982847,0.002159928,0.1361083,0.001018296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7489371,0.0004467035,0.000479826,0.0005115454,0.0003511941,0.0001897284,0.00006443659,0.0002359119,0.2487835],"genre_scores_gemma":[0.9864396,0.000004576647,0.000358718,0.001176045,0.0003765195,0.00003436986,0.00006541407,0.00003962813,0.01150508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8101122,"threshold_uncertainty_score":0.9999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0332319275354144,"score_gpt":0.3037862421661353,"score_spread":0.2705543146307209,"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."}}