{"id":"W6943834362","doi":"10.17605/osf.io/v6f52","title":"Registration","year":2019,"lang":"en","type":"other","venue":"Open Science Framework","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Identification (biology); Process (computing); Field (mathematics); 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007173709,0.001367942,0.002377365,0.00929833,0.003328351,0.008483097,0.003496848,0.004603063,0.7340378],"category_scores_gemma":[0.06637993,0.0006731139,0.001995652,0.006361352,0.00171969,0.003352854,0.004789918,0.004325454,0.6105149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003557049,"about_ca_system_score_gemma":0.01298735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008591044,"about_ca_topic_score_gemma":0.01208782,"domain_scores_codex":[0.9918801,0.001906393,0.001630148,0.001073552,0.002595355,0.0009143597],"domain_scores_gemma":[0.9559893,0.007708845,0.0025888,0.008156968,0.01978163,0.005774495],"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":[0.0002371022,0.00003743257,0.000164966,0.0008980001,0.00001247251,0.00004104915,0.00002921204,0.00003072083,0.00005195358,0.00263968,0.9699212,0.02593608],"study_design_scores_gemma":[0.0003086864,0.0000382014,0.0006793672,0.001344421,0.00002167997,0.0000916854,0.00008732662,0.00006919709,0.0001230562,0.005631259,0.9915828,0.00002231894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009661814,0.002518882,0.003730053,0.01346411,0.02126713,0.006551875,0.414142,0.004872661,0.532487],"genre_scores_gemma":[0.005113062,0.002044095,0.00445309,0.01419733,0.004140499,0.01121361,0.2429053,0.003865104,0.7120679],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2659622,"threshold_uncertainty_score":0.3793628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02854651178476779,"score_gpt":0.3511894002163136,"score_spread":0.3226428884315458,"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."}}