{"id":"W7097994817","doi":"","title":"Collaboration in cognitive tutor use in Latin America: Field study and design recommendations","year":2012,"lang":"en","type":"article","venue":"","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TUTOR; Cognition; Field (mathematics); Work (physics); Software; Educational software; Educational technology","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":[0.000402239,0.00006520576,0.00009428495,0.0001287085,0.00004825691,0.0001362914,0.00007015091,0.00002353107,0.00001703986],"category_scores_gemma":[0.0002486387,0.00005979907,0.000006358649,0.0004153445,0.000005718104,0.000966607,0.00005431146,0.00009883914,0.00001182877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003404624,"about_ca_system_score_gemma":0.00001984922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007445025,"about_ca_topic_score_gemma":0.0002850592,"domain_scores_codex":[0.9992034,0.0002405895,0.0001743976,0.0001527463,0.00007643297,0.0001524559],"domain_scores_gemma":[0.9991887,0.0005986177,0.00004871949,0.00008124357,0.00004943994,0.00003329838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001629663,0.0004425879,0.9084666,0.000003736347,0.00001238734,0.000007371996,0.02996411,0.0002149941,0.0001430192,0.02077672,0.0004027851,0.0395494],"study_design_scores_gemma":[0.002190506,0.001542404,0.8505617,0.0003295538,0.0000135618,0.000006752184,0.05706316,0.06299901,0.002894043,0.0002269561,0.021298,0.0008742888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3204103,0.00002811499,0.6781307,0.0003675858,0.0001874543,0.000436305,4.405729e-7,0.00003256582,0.0004065317],"genre_scores_gemma":[0.9806315,0.000003863335,0.01751143,0.0001470998,0.00002786841,0.00003722051,6.992597e-7,0.000003026145,0.001637247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6606193,"threshold_uncertainty_score":0.2438535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09531487475267893,"score_gpt":0.3370000618756104,"score_spread":0.2416851871229315,"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."}}