{"id":"W7011590535","doi":"","title":"MGRRE_PureOilScoutTickets_County of Ottawa_1_21139098800000","year":2021,"lang":"en","type":"article","venue":"ScholarWorks - WMU (Western Michigan University)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Product (mathematics); Process (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001066453,0.001024912,0.0009151067,0.004448889,0.006004643,0.005878903,0.003030631,0.001458926,0.7940696],"category_scores_gemma":[0.007092291,0.001707409,0.0007261324,0.007083739,0.00167962,0.002038007,0.003830323,0.001108374,0.5028036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0102115,"about_ca_system_score_gemma":0.02309277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8340607,"about_ca_topic_score_gemma":0.9293405,"domain_scores_codex":[0.9980893,0.0001223534,0.0000887999,0.0004336665,0.0006442374,0.0006216292],"domain_scores_gemma":[0.9923933,0.001168736,0.0003402107,0.001277086,0.003254037,0.001566655],"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":[0.0001110386,0.00003288803,0.00479749,0.0002101235,0.00001661724,0.00003778601,0.00038189,0.0001516753,0.0001840145,0.001416814,0.9682514,0.02440815],"study_design_scores_gemma":[0.00005627782,0.00001424413,0.01092993,0.0001420925,0.00002087144,0.00002769699,0.0008278175,0.0001406483,0.0005563211,0.0003648203,0.9868593,0.00005984912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006108832,0.0002398292,0.001059492,0.001237965,0.0006245069,0.0003337446,0.5733843,0.009090505,0.4079207],"genre_scores_gemma":[0.02101365,0.0003295832,0.002979426,0.0009145219,0.00008056689,0.0005550155,0.1968856,0.00785503,0.7693865],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8340607,"threshold_uncertainty_score":0.3338331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007817514667627295,"score_gpt":0.1990332914869338,"score_spread":0.1912157768193065,"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."}}