{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05378853,0.001820012,0.003259988,0.004953758,0.003838348,0.004351793,0.00375973,0.002931054,0.04919264],"category_scores_gemma":[0.2100957,0.002810622,0.002864259,0.005272076,0.002409168,0.003910081,0.006346756,0.003968148,0.01155448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003477166,"about_ca_system_score_gemma":0.01708056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008162952,"about_ca_topic_score_gemma":0.01633699,"domain_scores_codex":[0.9620914,0.0160668,0.004058774,0.007395942,0.006296727,0.004090362],"domain_scores_gemma":[0.7361619,0.1115919,0.01708948,0.07868844,0.04997097,0.006497209],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04268554,0.009413503,0.1474496,0.01297621,0.002024961,0.002716819,0.04822474,0.002377341,0.02238835,0.02682381,0.2551999,0.4277193],"study_design_scores_gemma":[0.005374735,0.01194513,0.5924373,0.002154911,0.002143154,0.0009244489,0.01866569,0.002073778,0.03972958,0.01679742,0.3071353,0.0006185194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.6408066,0.002832892,0.1083601,0.003738845,0.006251697,0.1495418,0.05051772,0.004382228,0.03356814],"genre_scores_gemma":[0.5257262,0.0004554662,0.1070396,0.003305,0.0009443106,0.3109559,0.02078203,0.002477516,0.02831404],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.9462115,"threshold_uncertainty_score":0.2844643,"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."}}