{"id":"W6990067247","doi":"","title":"A common result model for interactive learning environment","year":2007,"lang":"en","type":"other","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interactive Learning; Feature (linguistics); Component (thermodynamics); Matching (statistics); Focus (optics); Active learning (machine learning)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01594248,0.001545949,0.001679786,0.004231431,0.003739325,0.01147575,0.009259584,0.004665287,0.0688337],"category_scores_gemma":[0.04955761,0.0009965095,0.002958821,0.003564302,0.004679541,0.01490537,0.01012275,0.003772638,0.03376077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003069758,"about_ca_system_score_gemma":0.008675129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00479559,"about_ca_topic_score_gemma":0.005180286,"domain_scores_codex":[0.9705284,0.009339252,0.002048331,0.003557628,0.01235909,0.002167295],"domain_scores_gemma":[0.952602,0.009360942,0.001709348,0.02003699,0.01370812,0.002582521],"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":[0.0002384632,0.0003405146,0.001195926,0.0003386882,0.000072314,0.0003140874,0.001054126,0.007736516,0.001508565,0.8071875,0.05983998,0.1201733],"study_design_scores_gemma":[0.0002241513,0.0002584925,0.001055174,0.000238859,0.0002018696,0.0006583594,0.0006159967,0.1260145,0.007495325,0.6426141,0.2204786,0.0001446899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005630719,0.0001164104,0.8666826,0.002753546,0.0002351479,0.000870157,0.0008010416,0.007914409,0.114996],"genre_scores_gemma":[0.2125992,0.0003555355,0.583554,0.0008930873,0.0003087427,0.001791058,0.003009078,0.005391481,0.1920979],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0688337,"threshold_uncertainty_score":0.2302717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753138667846687,"score_gpt":0.2924611545543506,"score_spread":0.2649297678758837,"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."}}