{"id":"W6944119433","doi":"10.17605/osf.io/mup8s","title":"Registration","year":2018,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002084312,0.0002700484,0.000290715,0.0004112815,0.0003166407,0.001904125,0.007887561,0.0004440308,0.04263081],"category_scores_gemma":[0.001723335,0.000242154,0.00003784419,0.002631767,0.002717036,0.0005389312,0.001191092,0.0003234324,0.1572667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846001,"about_ca_system_score_gemma":0.0009789084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005990437,"about_ca_topic_score_gemma":0.0003207368,"domain_scores_codex":[0.9968953,0.00005099022,0.0002078616,0.001099876,0.001199118,0.0005469294],"domain_scores_gemma":[0.9967089,0.00004013494,0.0004917982,0.002414662,0.0001269133,0.0002176319],"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":[0.000004709067,0.00002226068,0.00008059155,0.000004276307,0.000004424362,0.000003298672,0.00004993131,1.963625e-7,0.00014711,0.03252269,0.9658162,0.001344341],"study_design_scores_gemma":[0.00005750079,0.00004123172,0.0001119567,0.0007068142,0.000009923187,0.000004464476,0.00002924035,0.00001668146,0.0001497662,0.00988262,0.9886479,0.000341942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001164155,0.00005159014,0.001606196,0.0001674845,0.001447797,0.0008427105,0.0000360122,0.0002661074,0.9955705],"genre_scores_gemma":[0.0004291057,0.00000784134,0.09426676,0.0002387472,0.0009717591,0.00004375592,0.00001164047,0.0005952336,0.9034352],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1146359,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04219830938721551,"score_gpt":0.3802212316921093,"score_spread":0.3380229223048938,"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."}}