{"id":"W2132199152","doi":"10.1145/2207676.2208597","title":"Collaboration in cognitive tutor use in latin America","year":2012,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV","keywords":"TUTOR; Latin Americans; Computer science; Work (physics); Cognition; Mathematics education; Software; Psychology; Engineering; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.003649097,0.0001880872,0.0003531119,0.001133159,0.002862179,0.002706556,0.0006438101,0.0006987316,0.001561902],"category_scores_gemma":[0.0116184,0.000186983,0.0002001539,0.001535319,0.002315304,0.001068518,0.004318752,0.0007002788,0.00009216081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003890548,"about_ca_system_score_gemma":0.00326073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07068018,"about_ca_topic_score_gemma":0.08682781,"domain_scores_codex":[0.9969134,0.001822437,0.0001652005,0.0003621497,0.0002637629,0.0004731149],"domain_scores_gemma":[0.9940141,0.00246423,0.001396272,0.0003245939,0.0009602827,0.0008405558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002879323,0.000586108,0.5038716,0.0002285571,0.00007756324,0.001267515,0.4167655,0.0002106509,0.002749275,0.003907423,0.00121627,0.06883156],"study_design_scores_gemma":[0.0001328497,0.0003297539,0.5720776,0.0004072438,0.00008961364,0.001321779,0.383125,0.0006951905,0.001174972,0.001180132,0.03941609,0.00004979832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924859,0.0007307247,0.0001908807,0.0009994908,0.000009203408,0.00002003365,0.00002203803,0.00001074205,0.005530921],"genre_scores_gemma":[0.9989061,0.0003522424,0.0001262826,0.0001769517,0.000003686207,0.00001985693,0.00001704155,0.000004794374,0.0003929742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07068018,"threshold_uncertainty_score":0.1405376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04717836155833345,"score_gpt":0.3001168791300282,"score_spread":0.2529385175716947,"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."}}