{"id":"W3185510443","doi":"10.17605/osf.io/275x9","title":"Preregistration (Study 2 and Integrative Data Analysis of Studies 1 and 2)","year":2019,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"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":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.02900688,0.0001910793,0.0008299805,0.0007301454,0.0001033305,0.0001652039,0.001478835,0.00007712931,0.02545126],"category_scores_gemma":[0.1566144,0.0001396056,0.00007898947,0.002118889,0.0002357112,0.0004698399,0.00348808,0.0002003465,0.01051762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002933028,"about_ca_system_score_gemma":0.00004333521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002195816,"about_ca_topic_score_gemma":0.0001982104,"domain_scores_codex":[0.9941469,0.001510256,0.0009001669,0.002508614,0.0007453815,0.0001886928],"domain_scores_gemma":[0.9687973,0.02386345,0.0007362802,0.00605566,0.0004473962,0.00009992783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006137567,0.0001258892,0.9068038,0.0000239995,0.001096306,0.000002204316,0.005334671,0.0001913487,0.0004367394,0.0004243341,0.001196278,0.08430301],"study_design_scores_gemma":[0.0004502305,0.000008659662,0.9542912,0.00003809198,0.0005022344,0.000005224183,0.01982196,0.009602673,0.000286469,0.01353372,0.00126549,0.0001940722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9340364,0.00002959347,0.003958161,0.0001066169,0.0001575193,0.0006434908,0.00001803832,0.00002506938,0.06102512],"genre_scores_gemma":[0.9735987,0.0001451916,0.007115874,0.00002035719,0.00001208699,0.0000180857,0.000005042165,0.000006407513,0.01907827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1276076,"threshold_uncertainty_score":0.9998417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3825028245136807,"score_gpt":0.4825685019581849,"score_spread":0.1000656774445042,"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."}}