{"id":"W2023313826","doi":"10.3166/ria.26.309-338","title":"Un modèle sémantique et contextuel pour l’apprentissage informel","year":2012,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004775152,0.001681622,0.001535551,0.002979934,0.002694214,0.01319358,0.002425909,0.005847069,0.01058878],"category_scores_gemma":[0.01318541,0.001869977,0.002950479,0.002132216,0.005322233,0.01936094,0.003363346,0.007620038,0.003844561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005383641,"about_ca_system_score_gemma":0.004526816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02324631,"about_ca_topic_score_gemma":0.01247221,"domain_scores_codex":[0.9935046,0.002590996,0.0004234841,0.001144493,0.001977053,0.000359301],"domain_scores_gemma":[0.9939269,0.003174783,0.0002122297,0.001285981,0.001179332,0.0002208092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001323021,0.000084183,0.0005551486,0.0001760587,0.00003900165,0.0002549781,0.000788239,0.01519773,0.002262938,0.9350721,0.007074332,0.03836303],"study_design_scores_gemma":[0.000118198,0.00009889327,0.0004945225,0.0003521969,0.00009224004,0.0006652935,0.0007860205,0.3186469,0.009151961,0.4845085,0.1849458,0.0001395095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007918966,0.001082822,0.9639736,0.005330766,0.0004966189,0.00008380962,0.0004320392,0.002168916,0.01851248],"genre_scores_gemma":[0.3333058,0.003422776,0.6112405,0.001712166,0.001131849,0.0005015377,0.002165056,0.001727789,0.04479245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02324631,"threshold_uncertainty_score":0.04622203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06709816047771655,"score_gpt":0.3048363511503631,"score_spread":0.2377381906726465,"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."}}