{"id":"W3163035992","doi":"10.31234/osf.io/cj5mh","title":"What should a preregistration contain?","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Credibility; Verifiable secret sharing; Computer science; Harm; Order (exchange); Limiting; Resource (disambiguation); Inference; Quality (philosophy); Risk analysis (engineering); Management science; Data science; Psychology; Epistemology; Social psychology; Business; Artificial intelligence; Set (abstract data type)","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":["metaresearch"],"category_scores_codex":[0.2630923,0.00121269,0.002350165,0.004180497,0.006986287,0.01226785,0.00567607,0.01589783,0.009501438],"category_scores_gemma":[0.4936054,0.001787763,0.002489294,0.003999495,0.01061528,0.02257049,0.005576061,0.01254791,0.008088912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005778036,"about_ca_system_score_gemma":0.02509303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005331818,"about_ca_topic_score_gemma":0.004558636,"domain_scores_codex":[0.8079733,0.1267568,0.02373506,0.009719837,0.0245581,0.007256799],"domain_scores_gemma":[0.4802814,0.2560894,0.04879621,0.1383636,0.06797508,0.008494347],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001947414,0.0007684521,0.02020588,0.004765932,0.000516156,0.001160224,0.02168931,0.002317183,0.005487459,0.3785942,0.1545919,0.407956],"study_design_scores_gemma":[0.0004593102,0.001511203,0.03556673,0.009560791,0.0008478097,0.001240883,0.01246897,0.002131073,0.01900238,0.2225186,0.6937644,0.0009277972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.07605031,0.02009316,0.3103307,0.3907264,0.02604249,0.01077304,0.00294568,0.004159367,0.1588788],"genre_scores_gemma":[0.5011001,0.007978883,0.3418098,0.09014481,0.007823844,0.01080216,0.001554397,0.002084885,0.03670118],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7369077,"threshold_uncertainty_score":0.9087384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.329114375819624,"score_gpt":0.2654305520141132,"score_spread":0.06368382380551085,"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."}}