{"id":"W4292842654","doi":"10.3102/1431912","title":"Designing Safe Learning Environments for Discovery, Empathy, Failure, and Igniting Impact in Latin America","year":2019,"lang":"en","type":"article","venue":"Proceedings of the 2019 AERA Annual Meeting","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Latin Americans; Empathy; Computer science; Data science; Psychology; Political science; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002794378,0.0002226793,0.0001612306,0.0005368067,0.003583773,0.002590061,0.0007823433,0.0006493937,0.002235562],"category_scores_gemma":[0.006108733,0.0001582997,0.0001646858,0.0004925041,0.00309184,0.001696536,0.004060043,0.000673523,0.0001985379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003659332,"about_ca_system_score_gemma":0.003924779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267968,"about_ca_topic_score_gemma":0.0384565,"domain_scores_codex":[0.9988328,0.0007712063,0.00002361481,0.00007620103,0.00005663477,0.0002395622],"domain_scores_gemma":[0.9976029,0.001184198,0.000372194,0.0001724587,0.0002962524,0.0003720671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009455783,0.002072516,0.2862214,0.0004086325,0.00007501506,0.002577855,0.3610821,0.008450305,0.01505618,0.07828078,0.005422987,0.2394067],"study_design_scores_gemma":[0.0002391545,0.001190737,0.2400101,0.0006354075,0.00008905362,0.0006046334,0.5518698,0.01182663,0.006788482,0.06009821,0.1265211,0.0001268613],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9823418,0.0001989825,0.003000299,0.002005668,0.000007280575,0.00005304417,0.00002134855,0.00002561716,0.01234593],"genre_scores_gemma":[0.9968038,0.0001514194,0.001640485,0.0001402176,0.00000215826,0.00004990455,0.00001647768,0.000009014276,0.001186596],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02267968,"threshold_uncertainty_score":0.04509532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006780518463677357,"score_gpt":0.2233147938996417,"score_spread":0.2165342754359643,"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."}}