{"id":"W6925160965","doi":"10.17605/osf.io/7eq3v","title":"Preregistration","year":2019,"lang":"en","type":"article","venue":"Open Science Framework","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Process (computing); Work (physics); Identification (biology); Set (abstract data type); Government (linguistics)","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","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004590577,0.0007891945,0.001045859,0.002669853,0.002235934,0.005719631,0.001992675,0.003268625,0.6462164],"category_scores_gemma":[0.02221604,0.0005412205,0.001045524,0.001096439,0.0007553009,0.001834483,0.003847755,0.003248464,0.4425272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502906,"about_ca_system_score_gemma":0.005120432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009395637,"about_ca_topic_score_gemma":0.002445509,"domain_scores_codex":[0.995957,0.000824476,0.0003378442,0.0004695792,0.001586236,0.0008248331],"domain_scores_gemma":[0.9815809,0.001976826,0.0006616025,0.003219463,0.007816521,0.004744766],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004454463,0.000092071,0.0004558454,0.0002539525,0.00001088213,0.0003187926,0.00009437007,0.00003736289,0.0009811911,0.002718562,0.9329395,0.06165187],"study_design_scores_gemma":[0.0000296232,0.00005822924,0.0009919344,0.0000756773,0.000004361861,0.0002081913,0.00009478058,0.00003902569,0.0004945725,0.001227701,0.9967653,0.00001058873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007247237,0.003898566,0.008870917,0.04621555,0.1774112,0.004352144,0.01661474,0.006327041,0.7290626],"genre_scores_gemma":[0.008923671,0.0007454729,0.001303157,0.008037897,0.01044832,0.0009328637,0.00462409,0.001213806,0.9637708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9980073,"threshold_uncertainty_score":0.5046294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180341327153878,"score_gpt":0.3506234217901134,"score_spread":0.3288200085185746,"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."}}