{"id":"W6943970825","doi":"10.17605/osf.io/p46mb","title":"ChrontouR","year":2020,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Data Analysis with R","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"","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":[0.002186629,0.0002959463,0.0004134589,0.0001066098,0.000165182,0.0004043812,0.005092475,0.0001308506,0.2586565],"category_scores_gemma":[0.002130641,0.0003181359,0.0002337374,0.0006589741,0.00009366956,0.001103955,0.004758348,0.000407825,0.9136101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397472,"about_ca_system_score_gemma":0.0001848384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367264,"about_ca_topic_score_gemma":0.00003098148,"domain_scores_codex":[0.9951255,0.0004118418,0.0005409381,0.002787526,0.0006206914,0.0005135377],"domain_scores_gemma":[0.993288,0.0002155707,0.0002331808,0.005616892,0.0001326489,0.0005137274],"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":[0.00009608894,0.0006463414,0.02850235,0.0001938888,0.0007268975,0.000356453,0.008877218,0.004558021,0.0203393,0.05878881,0.655895,0.2210197],"study_design_scores_gemma":[0.001105503,0.000003185507,0.01741743,0.00004692394,0.0001002978,0.00005494931,0.0001143899,0.1214437,0.02085385,0.006051891,0.831749,0.001058858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005479111,0.000002159721,0.4125453,0.005660156,0.0002336095,0.0004016602,0.000009189251,0.0005558396,0.575113],"genre_scores_gemma":[0.7836401,0.00008352914,0.06704885,0.006134671,0.0004373773,0.0001837268,0.00003694302,0.00007729911,0.1423575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.778161,"threshold_uncertainty_score":0.999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921679443882397,"score_gpt":0.2496680565044222,"score_spread":0.2304512620655983,"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."}}