{"id":"W3023111247","doi":"","title":"Inquiry Based Learning Pedagogy for Chemistry Practical Experiments Using OLabs.","year":2014,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Active learning (machine learning); Inquiry-based learning; Experiential learning; Mathematics education; Computer science; Discovery learning; Cooperative learning; Learning sciences; Teaching method; Pedagogy; Psychology; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007560557,0.0001513739,0.000163015,0.000107243,0.0004973122,0.0006704796,0.0003003207,0.000109034,0.00005509495],"category_scores_gemma":[0.001188428,0.0001606722,0.00006097304,0.0002404411,0.0000611047,0.00390907,0.0001014849,0.0002031537,0.0000730711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167791,"about_ca_system_score_gemma":0.0002908962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001614978,"about_ca_topic_score_gemma":2.90024e-7,"domain_scores_codex":[0.998742,0.00009758805,0.0004248325,0.0001765278,0.0002425521,0.0003164373],"domain_scores_gemma":[0.9988503,0.0001697103,0.0003501101,0.0002429115,0.0002736302,0.0001133309],"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":[0.0003183733,0.0005532628,0.0116274,0.00331866,0.0001979013,0.000004488905,0.1864381,0.1172067,0.04127921,0.1059568,0.004891386,0.5282077],"study_design_scores_gemma":[0.0007369471,0.0001136477,0.0006975909,0.0001011682,0.00001091192,0.00003282145,0.005880803,0.9241952,0.01380604,0.0005061438,0.05357207,0.0003466432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1033983,0.00001260314,0.8862461,0.0001669538,0.0005002543,0.0002082063,4.817135e-7,0.0002025451,0.009264538],"genre_scores_gemma":[0.8954704,0.00000132033,0.103879,0.0003006036,0.0001470175,0.00005331356,0.00004239142,0.00001042491,0.00009547821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8069885,"threshold_uncertainty_score":0.6552023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030691154310031,"score_gpt":0.3472353252280359,"score_spread":0.2969284136849356,"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."}}