{"id":"W6950987953","doi":"10.5683/sp2/x50ljs","title":"xAPI Context Identifier Metadata","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Identifier; Context (archaeology); Object (grammar); Data element; Unique identifier","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":[0.002243675,0.002176412,0.001519796,0.004482861,0.001700221,0.003536699,0.002254641,0.001345192,0.04300655],"category_scores_gemma":[0.008892633,0.00111432,0.001295776,0.005845902,0.0007198722,0.003912864,0.003502575,0.003495349,0.06440257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002764137,"about_ca_system_score_gemma":0.005213252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03270376,"about_ca_topic_score_gemma":0.04300334,"domain_scores_codex":[0.9964827,0.0004563193,0.0005397015,0.0008852251,0.001169774,0.0004662869],"domain_scores_gemma":[0.9948512,0.0007390916,0.000397774,0.001893367,0.001787666,0.0003309437],"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":[0.0002057872,0.00004197135,0.001585647,0.0005269619,0.00002209387,0.00005447381,0.000101845,0.0003320529,0.001250421,0.004017716,0.9836242,0.008236723],"study_design_scores_gemma":[0.00006839496,0.00001917181,0.004246603,0.000172519,0.00002848887,0.0001259037,0.0001529297,0.0007286014,0.002467477,0.002611578,0.9893367,0.00004159841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006916273,0.0001704464,0.001811513,0.000166745,0.0001122738,0.0001086456,0.9831165,0.005527847,0.008294416],"genre_scores_gemma":[0.001607781,0.00008067093,0.001830397,0.0001044463,0.00001528083,0.0001486645,0.9941953,0.0003969729,0.001620503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04300655,"threshold_uncertainty_score":0.1438712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05336008048293377,"score_gpt":0.312060405129257,"score_spread":0.2587003246463232,"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."}}