{"id":"W4376612848","doi":"10.36850/mr6","title":"Reflections on Preregistration: Core Criteria, Badges, Complementary Workflows","year":2023,"lang":"en","type":"article","venue":"Journal of Trial and Error","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Canadian Institutes of Health Research; Arnold Ventures","keywords":"Leverage (statistics); Psychology; Workflow; Context (archaeology); Core (optical fiber); Social psychology; Applied psychology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7622131,0.002997041,0.007269103,0.01127008,0.009242487,0.03402231,0.01703711,0.03784625,0.006254855],"category_scores_gemma":[0.8836414,0.003542704,0.01066122,0.008878469,0.05277833,0.05481435,0.02226385,0.07284285,0.004449862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02646002,"about_ca_system_score_gemma":0.1133999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01125041,"about_ca_topic_score_gemma":0.01175078,"domain_scores_codex":[0.2488913,0.4588159,0.1564901,0.01799389,0.1070654,0.01074332],"domain_scores_gemma":[0.03845717,0.7217553,0.04424013,0.06043082,0.122949,0.01216748],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001342651,0.0003267924,0.003831648,0.007739746,0.0005340582,0.0009366089,0.02732668,0.001698885,0.001299215,0.1441595,0.597766,0.2130381],"study_design_scores_gemma":[0.0008855227,0.0009341877,0.004335993,0.03134387,0.0005002994,0.002035839,0.01035772,0.003443431,0.003230507,0.3236891,0.617641,0.00160256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001854226,0.008675451,0.02555858,0.9420151,0.01772002,0.0007464545,0.0001665883,0.0006254748,0.002638078],"genre_scores_gemma":[0.03808302,0.008135603,0.2470853,0.6771577,0.0209096,0.003974238,0.0002606537,0.001318779,0.003075118],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2377869,"threshold_uncertainty_score":0.2932336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9321029567355448,"score_gpt":0.6470500933930182,"score_spread":0.2850528633425266,"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."}}