{"id":"W7046529149","doi":"","title":"Digital Commerce in Canada","year":2020,"lang":"en","type":"article","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cyberspace; The Internet; Context (archaeology); Legal aspects of computing; Data Protection Act 1998; Jurisdiction; Realm; Legislation; Digital content","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":[],"consensus_categories":[],"category_scores_codex":[0.0009986055,0.0006998688,0.0006507486,0.00269766,0.02040949,0.01702905,0.001582172,0.004183654,0.1078058],"category_scores_gemma":[0.004056202,0.000496826,0.0005300294,0.006425039,0.005850282,0.004219032,0.003216103,0.004250924,0.01842325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1016148,"about_ca_system_score_gemma":0.2038239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9711758,"about_ca_topic_score_gemma":0.9858372,"domain_scores_codex":[0.9966128,0.0001601793,0.00008894465,0.0004328777,0.001750616,0.0009545412],"domain_scores_gemma":[0.9962223,0.0002764142,0.00008422555,0.0001550233,0.002232164,0.001029845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000009381666,0.00001350566,0.0005112736,0.0001287269,0.000003769016,0.0002464505,0.00118461,0.00009202626,0.00009897789,0.1915418,0.7647523,0.04141722],"study_design_scores_gemma":[0.000001189711,0.000001446794,0.0003755115,0.00006132744,0.000001272699,0.00003515923,0.0003539223,0.00003631248,0.00002516688,0.001314018,0.9977866,0.00000793115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002129851,0.01172522,0.0004679004,0.03792645,0.003385967,0.00006343252,0.001483068,0.0002233673,0.9425946],"genre_scores_gemma":[0.02634074,0.00825182,0.0005821615,0.01075679,0.0003213735,0.00003192223,0.0006998498,0.0001551637,0.9528602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1078058,"threshold_uncertainty_score":0.7372706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375062092988399,"score_gpt":0.2226288002877166,"score_spread":0.2088781793578326,"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."}}