{"id":"W7020457681","doi":"","title":"ON-LINE STUDIES (INTERNATIONAL MARKETING COURSE BY CANADIAN
\\nCOLLEGE OF ENGLISH LANGUAGE, VANCOUVER)","year":2018,"lang":"en","type":"other","venue":"A.N.Beketov KNUME Digital Repository (National University of Kharkiv)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Course (navigation); Focus (optics); Curriculum","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":[],"category_scores_codex":[0.0007430433,0.0006508931,0.000493029,0.001698687,0.004208642,0.004739589,0.0006721789,0.0007556105,0.5970395],"category_scores_gemma":[0.001262554,0.0003709681,0.0002581521,0.00316468,0.0006352342,0.001646817,0.001242844,0.0008649687,0.2272286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00566968,"about_ca_system_score_gemma":0.007041233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2719755,"about_ca_topic_score_gemma":0.7095336,"domain_scores_codex":[0.999671,0.00002866701,0.00001150226,0.00005329147,0.0001514658,0.00008402391],"domain_scores_gemma":[0.9984941,0.0001220728,0.00002741057,0.0001024787,0.0006625014,0.0005914152],"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":[0.00001818232,0.00003362286,0.0004189027,0.00004550396,0.000001421388,0.00003438877,0.0003192416,0.0000278374,0.0001630236,0.001418914,0.9493417,0.04817722],"study_design_scores_gemma":[0.000002875556,0.000009510693,0.003583615,0.00006949096,0.000001186471,0.00001821592,0.0005772429,0.00003019337,0.0001124724,0.0003629245,0.9952291,0.000003155094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002828401,0.002596465,0.0003501943,0.003463048,0.0008677106,0.0000734868,0.005991116,0.0005496818,0.9832798],"genre_scores_gemma":[0.003674281,0.0008682987,0.0001705765,0.00009714339,0.00005460722,0.00001143628,0.0008325014,0.0002042872,0.994087],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7280245,"threshold_uncertainty_score":0.5747742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008795108050572402,"score_gpt":0.2326699393103429,"score_spread":0.2238748312597705,"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."}}