{"id":"W2282717387","doi":"10.71781/9734","title":"C.A.M.E.L.E.O. : a cultural adaptation methodology for E-learning environment optimization","year":2007,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strong","keywords":"Adaptation (eye); E learning; Computer science; Psychology; Humanities; Philosophy; World Wide Web; The Internet; Neuroscience","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":[0.001629273,0.0009446209,0.0008185507,0.001818628,0.001130438,0.0008069425,0.001698532,0.0017468,0.01257261],"category_scores_gemma":[0.01177075,0.0004942017,0.0007408406,0.001641772,0.0008811534,0.002109129,0.002095513,0.001591664,0.002123721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008159703,"about_ca_system_score_gemma":0.001171842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01610674,"about_ca_topic_score_gemma":0.01715735,"domain_scores_codex":[0.9993543,0.0002259096,0.00002967885,0.00007630228,0.0002310502,0.00008277765],"domain_scores_gemma":[0.9971073,0.001683446,0.0001228787,0.0002218822,0.0007576247,0.0001067846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003735555,0.0003742448,0.002616652,0.0006934194,0.0002791153,0.0004089701,0.0008093013,0.2629876,0.01086723,0.06456915,0.05782435,0.5981964],"study_design_scores_gemma":[0.0001201929,0.0001119981,0.003183441,0.0001446983,0.00009987086,0.0001678903,0.0003073878,0.9159686,0.01089021,0.03829438,0.03060786,0.0001034937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005815326,0.0008850674,0.9854174,0.0006951669,0.0002130989,0.0001075572,0.0001032846,0.0004790384,0.006284081],"genre_scores_gemma":[0.2191451,0.001919886,0.7582356,0.0005623435,0.0002153126,0.001244646,0.0002876507,0.001355729,0.01703371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01610674,"threshold_uncertainty_score":0.0420596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03866291030512758,"score_gpt":0.2988083694296189,"score_spread":0.2601454591244913,"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."}}