{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002258797,0.00006692904,0.00009488229,0.0001296781,0.00002493969,0.0001120149,0.0001055674,0.00002957207,0.00002151298],"category_scores_gemma":[0.0001485106,0.00006065083,0.0000128188,0.0005622234,0.000009374388,0.001166168,0.00004956528,0.00009726548,0.0001037723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006533959,"about_ca_system_score_gemma":0.00002808965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007174135,"about_ca_topic_score_gemma":0.0001682642,"domain_scores_codex":[0.9992545,0.00009532354,0.0001672898,0.0001434359,0.0001158835,0.0002235704],"domain_scores_gemma":[0.9996096,0.0001539485,0.00004954019,0.0000927387,0.00005585236,0.00003830552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008900811,0.0001412711,0.7209888,0.000006501012,0.000005353301,0.00001250626,0.01112443,0.0004842308,0.0007881122,0.2522001,0.0001920265,0.01404789],"study_design_scores_gemma":[0.000813314,0.0001511162,0.8210404,0.0002958124,0.000002696725,0.000004987355,0.004720073,0.04034672,0.005036505,0.0001517862,0.1268407,0.0005959033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6160423,0.00006567835,0.3768865,0.0001687929,0.0004494255,0.0002294926,8.636973e-7,0.00007755464,0.006079414],"genre_scores_gemma":[0.9856213,0.000001975191,0.007814378,0.000146828,0.00006089119,0.00001365873,0.000001081998,0.000003769326,0.006336151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.369579,"threshold_uncertainty_score":0.2473269,"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."}}