{"id":"W6906325287","doi":"10.17605/osf.io/evtjx","title":"Preregistration","year":2018,"lang":"en","type":"article","venue":"Open Science Framework","topic":"Energy Law and Policy","field":"Decision Sciences","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0114146,0.000732842,0.001138831,0.003466213,0.00422736,0.008016046,0.002879665,0.005961964,0.2712633],"category_scores_gemma":[0.03468201,0.0009915347,0.001393587,0.001825737,0.001166092,0.003408497,0.005281319,0.007207904,0.1326921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003323723,"about_ca_system_score_gemma":0.01397077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003840292,"about_ca_topic_score_gemma":0.005765342,"domain_scores_codex":[0.9858803,0.003072069,0.001064642,0.001723819,0.004346173,0.003912987],"domain_scores_gemma":[0.9688386,0.006372483,0.001506786,0.009188607,0.00961177,0.004481721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009168148,0.0004281687,0.002790537,0.0003078073,0.00003114087,0.0008471839,0.0009757511,0.0002095483,0.002703967,0.04188235,0.8204631,0.1284437],"study_design_scores_gemma":[0.00004236139,0.0001025153,0.003455081,0.00006860952,0.00001251044,0.0002518006,0.0003735175,0.0001597838,0.001746407,0.004603442,0.9891521,0.0000318983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02735185,0.002064381,0.02601263,0.03860933,0.03147692,0.006329939,0.007943514,0.008969022,0.8512425],"genre_scores_gemma":[0.04280981,0.0004628203,0.005144484,0.01312895,0.003817944,0.001583171,0.003438728,0.001745131,0.927869],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7287368,"threshold_uncertainty_score":0.9074661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2136447465372736,"score_gpt":0.5309617007091962,"score_spread":0.3173169541719226,"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."}}