{"id":"W7125569656","doi":"","title":"Adapting Infosphère: Leveraging an OER Information Literacy Platform","year":2025,"lang":"en","type":"other","venue":"Infoscience (Ecole Polytechnique Fédérale de Lausanne)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personalization; Adaptation (eye); Curriculum; Process (computing); License; Presentation (obstetrics); Session (web analytics); Information literacy; Resource (disambiguation)","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.009855481,0.0006722728,0.0002586922,0.001530799,0.002021422,0.005380021,0.002071429,0.001616772,0.005164437],"category_scores_gemma":[0.01823032,0.0004531449,0.0006065025,0.0008612604,0.002125921,0.008017847,0.008053938,0.002410702,0.002009942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002637767,"about_ca_system_score_gemma":0.006098328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006110287,"about_ca_topic_score_gemma":0.01560287,"domain_scores_codex":[0.9959127,0.001792082,0.0001713485,0.000451597,0.001120655,0.0005516409],"domain_scores_gemma":[0.9899158,0.003218478,0.0004095291,0.002746456,0.001900754,0.001809053],"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":[0.0002327106,0.001645044,0.01662448,0.0006773641,0.00005461122,0.003030718,0.08836927,0.004906288,0.04426929,0.02311957,0.04884488,0.7682258],"study_design_scores_gemma":[0.00009922364,0.001302881,0.0227834,0.0006750103,0.00008415325,0.001477422,0.0330094,0.01294197,0.03541654,0.01575994,0.8760141,0.0004360572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6013103,0.0003609252,0.2548586,0.01208317,0.0009598144,0.002659877,0.0007713087,0.01715835,0.1098377],"genre_scores_gemma":[0.5446265,0.0005076862,0.3817832,0.002504888,0.0002911451,0.0009466175,0.001615691,0.003305186,0.06441902],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9979286,"threshold_uncertainty_score":0.0521214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491768920235796,"score_gpt":0.2859252700795635,"score_spread":0.2710075808772055,"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."}}