{"id":"W6931833468","doi":"10.5683/sp3/fazpgq","title":"xAPI Rostering Profile","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scheduling (production processes); Data collection; Program evaluation; Resource (disambiguation); MEDLINE","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":[0.001463858,0.003627672,0.001486137,0.00249785,0.001039567,0.002207523,0.00389632,0.002068565,0.02389113],"category_scores_gemma":[0.005246852,0.0008999457,0.002053386,0.003935474,0.0004309611,0.001697665,0.00190529,0.002343757,0.04444104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157699,"about_ca_system_score_gemma":0.002432492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03455292,"about_ca_topic_score_gemma":0.08114707,"domain_scores_codex":[0.9983505,0.0002414871,0.000165164,0.0005991753,0.0004119598,0.000231752],"domain_scores_gemma":[0.9978791,0.0004087246,0.0001560313,0.0008994076,0.000438693,0.0002180102],"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":[0.0001917584,0.00006526217,0.001525396,0.0005888874,0.00005669405,0.00003063684,0.00003869012,0.001754105,0.0003212185,0.0006311823,0.990015,0.004781148],"study_design_scores_gemma":[0.000467672,0.0001073127,0.009030526,0.0002752537,0.00006852677,0.0001519468,0.0001730976,0.00855801,0.00206726,0.003037004,0.9759817,0.0000817422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008301156,0.0001366018,0.0004119741,0.0001366247,0.00006556276,0.00004254037,0.992373,0.004362657,0.001640929],"genre_scores_gemma":[0.001183498,0.00005853164,0.0008838133,0.00005386991,0.000007340921,0.00006585837,0.996991,0.0001562431,0.0005998242],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03455292,"threshold_uncertainty_score":0.07992375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651436922893562,"score_gpt":0.2801121416073472,"score_spread":0.2535977723784115,"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."}}