{"id":"W6930559663","doi":"10.5281/zenodo.14698256","title":"M-Learning as a Convenient Support to the Learning Process in Computer Science","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Novelty; Process (computing); Field (mathematics); Outcome (game theory); Mobile device; Active learning (machine learning); Style (visual arts); Order (exchange)","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":[0.0007553448,0.0004032241,0.0002192344,0.0006543404,0.0005874134,0.00196259,0.0005668152,0.000906945,0.008152258],"category_scores_gemma":[0.002504778,0.0001248644,0.0002284394,0.0007746104,0.0005429436,0.001860709,0.001926437,0.0005325566,0.003365937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050326,"about_ca_system_score_gemma":0.0005286383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002181002,"about_ca_topic_score_gemma":0.0005201726,"domain_scores_codex":[0.9987714,0.0005651979,0.00006610773,0.000138043,0.0003318384,0.0001274654],"domain_scores_gemma":[0.9987685,0.000562295,0.0001599236,0.0001820236,0.0001130186,0.0002142215],"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":[0.0006067685,0.0005678809,0.01050008,0.003047296,0.00002501828,0.001054432,0.004802111,0.0007880321,0.04048133,0.03500761,0.0192364,0.8838831],"study_design_scores_gemma":[0.0001197697,0.002479576,0.05913904,0.001383739,0.0000918756,0.007027608,0.004605668,0.003066544,0.02760072,0.02792463,0.8664382,0.0001226812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4509799,0.02901674,0.2754481,0.00629486,0.001386288,0.001230847,0.00103213,0.004109936,0.2305012],"genre_scores_gemma":[0.8255788,0.006431085,0.1231476,0.001071495,0.000693868,0.0003617422,0.000572175,0.000263601,0.04187965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008152258,"threshold_uncertainty_score":0.02727199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833667823589579,"score_gpt":0.2962795114944105,"score_spread":0.2679428332585147,"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."}}