{"id":"W2805573979","doi":"","title":"Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level.","year":2017,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Artificial neural network; Machine learning; Pattern recognition (psychology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002722151,0.0001045692,0.0001486661,0.00004496927,0.0008124331,0.0001335025,0.0005875415,0.00007664605,0.000009146281],"category_scores_gemma":[0.00007730428,0.0001059819,0.0001109905,0.0001069509,0.00009727892,0.0003692945,0.0001498894,0.0000956997,0.00001029969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004822203,"about_ca_system_score_gemma":0.00004673363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006291052,"about_ca_topic_score_gemma":0.00005451749,"domain_scores_codex":[0.9991592,0.00002579643,0.0001866412,0.0002512722,0.0001502677,0.0002268621],"domain_scores_gemma":[0.9988253,0.00006926554,0.0003352836,0.0005948517,0.0001182327,0.00005703584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006091672,0.0002015121,0.00697279,0.0001373644,0.0001225374,0.000003939919,0.0008876983,0.002944436,0.02634497,0.5344478,0.01414375,0.4137322],"study_design_scores_gemma":[0.0004037791,0.0001587051,0.07475484,0.00004096985,0.00001686615,0.00002052169,0.00002618685,0.8924931,0.0154533,0.01013588,0.00625639,0.0002394368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06591263,0.00004070388,0.931606,0.001345759,0.0002712451,0.0003031511,0.000008468618,0.000239072,0.0002729717],"genre_scores_gemma":[0.8851182,0.000002972677,0.1139293,0.00005292499,0.0001671983,0.0001165203,0.000002011904,0.000008945486,0.0006019067],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8895487,"threshold_uncertainty_score":0.6248661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065744363015116,"score_gpt":0.2905798912573415,"score_spread":0.2599224476271903,"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."}}