{"id":"W4299530127","doi":"","title":"Pedagogical lambda-cube: the λ² case","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Cube (algebra); Lambda; Computer science; Mathematics; Physics; Combinatorics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009086005,0.0004006742,0.0004084084,0.0001331054,0.0008501565,0.001319636,0.003208798,0.0003020804,0.00006419095],"category_scores_gemma":[0.001370813,0.0003131133,0.0003135411,0.0003058067,0.000184397,0.0001693598,0.003379188,0.001306737,0.0001856657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143788,"about_ca_system_score_gemma":0.0002312985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855404,"about_ca_topic_score_gemma":0.0005187095,"domain_scores_codex":[0.9895507,0.00774928,0.0005958669,0.00102571,0.0005894869,0.0004890209],"domain_scores_gemma":[0.9918069,0.002180626,0.0005820034,0.00353502,0.001706013,0.000189423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001935509,0.0001251256,0.0002943318,0.00007640656,0.0000489591,0.000117771,0.01391462,0.0004684507,0.0001410811,0.9555798,0.0009460974,0.02828541],"study_design_scores_gemma":[0.0004529057,0.000001491426,0.0008512157,0.002501411,0.00005732848,0.001138817,0.0005820477,0.1686495,0.008645886,0.0102779,0.8056186,0.001222904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02788275,0.0006913,0.9222727,0.01102927,0.0008170329,0.0004181777,0.000008354832,0.0004361103,0.03644427],"genre_scores_gemma":[0.887962,0.00009546649,0.03504041,0.0002341425,0.0001545598,0.00008235055,0.00003453995,0.00004201606,0.07635449],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9453019,"threshold_uncertainty_score":0.9999321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04233728604791748,"score_gpt":0.2715116922409209,"score_spread":0.2291744061930034,"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."}}