{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002974161,0.0002194076,0.0004349413,0.00006958408,0.00004569805,0.0003548289,0.0002451083,0.0002964224,0.00265253],"category_scores_gemma":[0.00002953988,0.0002789057,0.0001704827,0.00003226958,0.00004053511,0.0004710476,0.0002918513,0.0003297303,0.003182238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000254293,"about_ca_system_score_gemma":0.00002225567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002168186,"about_ca_topic_score_gemma":0.00004445561,"domain_scores_codex":[0.9983916,0.00001164507,0.0006773602,0.0007192929,0.00002940269,0.000170674],"domain_scores_gemma":[0.9989882,0.00001827028,0.0004611689,0.0004356201,0.000006002993,0.00009080654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003311694,0.0001827257,0.09419632,0.0002640972,0.0003225455,0.000006211069,0.002096508,0.003701723,0.00003330143,0.8721581,0.02339044,0.003614909],"study_design_scores_gemma":[0.001063663,0.0001563869,0.1286118,0.0001028583,0.00003954919,0.000003532854,0.0009973604,0.03890516,0.0002557135,0.7493156,0.07920557,0.001342818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5115304,0.01467787,0.09441979,0.06399334,0.01038181,0.003330864,0.000563733,0.0005277274,0.3005745],"genre_scores_gemma":[0.9898614,0.001913733,0.00102539,0.002253325,0.0002612024,0.00009742888,0.0003957282,0.00003493507,0.004156813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4783311,"threshold_uncertainty_score":0.9999663,"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."}}