{"id":"W2293646102","doi":"","title":"Enabling Technologies for Incidental Learning on the Web","year":2014,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; World Wide Web; Data science","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":[0.001027435,0.000289639,0.0002307622,0.0009299624,0.0007379407,0.004273882,0.001040153,0.001260509,0.009121965],"category_scores_gemma":[0.005254378,0.0002173757,0.0002810532,0.0007065915,0.0007483388,0.01035865,0.005026306,0.001465787,0.003683689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796233,"about_ca_system_score_gemma":0.0006023277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000581003,"about_ca_topic_score_gemma":0.0009362592,"domain_scores_codex":[0.9991745,0.0001965208,0.00006043861,0.0000871911,0.0003128225,0.0001685352],"domain_scores_gemma":[0.9965551,0.001593738,0.0001455568,0.0009164105,0.0004535808,0.0003356516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002221276,0.0004675108,0.003349682,0.0005807198,0.000039648,0.0007411147,0.001485537,0.0009528578,0.01601254,0.2469337,0.0355681,0.6936465],"study_design_scores_gemma":[0.00009366696,0.0003070014,0.005824879,0.000769908,0.0001170902,0.001720934,0.001629288,0.01235252,0.03241393,0.3573771,0.58729,0.0001037879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1483119,0.008467644,0.4198808,0.008670677,0.001763864,0.0004156927,0.0007250182,0.0107936,0.4009708],"genre_scores_gemma":[0.7846927,0.008937282,0.1123006,0.001519757,0.001156819,0.0005101823,0.001234876,0.001002224,0.08864552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009121965,"threshold_uncertainty_score":0.03051597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07045551401415996,"score_gpt":0.3289535586916879,"score_spread":0.2584980446775279,"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."}}