{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003716663,0.003510567,0.002742282,0.004504333,0.001484618,0.004012638,0.00326579,0.00127823,0.3970371],"category_scores_gemma":[0.01389646,0.003150701,0.002645257,0.003208363,0.0009000456,0.002831914,0.002901414,0.002978623,0.2223627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505785,"about_ca_system_score_gemma":0.003190447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006494727,"about_ca_topic_score_gemma":0.00988755,"domain_scores_codex":[0.9984152,0.0002622665,0.0002536163,0.0005999291,0.0002736272,0.0001952804],"domain_scores_gemma":[0.9930071,0.003589946,0.0005326714,0.001343629,0.001092721,0.0004339727],"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":[0.0008555445,0.0001008488,0.003287767,0.002231694,0.0002329323,0.0002413073,0.0006643118,0.001659141,0.004004642,0.006157792,0.9192272,0.06133695],"study_design_scores_gemma":[0.0009181474,0.00009296957,0.006583436,0.0004058494,0.000194767,0.000432172,0.0002048896,0.007285979,0.0123826,0.02240122,0.9488103,0.0002877558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001761941,0.0002653026,0.0747249,0.0001936977,0.0002470601,0.0005297678,0.329065,0.5840483,0.009164101],"genre_scores_gemma":[0.01173263,0.0004242915,0.1596118,0.0009275141,0.00020994,0.004480452,0.2934867,0.5065619,0.02256477],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3970371,"threshold_uncertainty_score":0,"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."}}