{"id":"W2224129370","doi":"10.5753/cbie.wcbie.2015.65","title":"Identificando Colegas para Ajudar em Minhas Dúvidas: Um Estudo Empírico em Comunidades de Perguntas e Respostas","year":2015,"lang":"pt","type":"article","venue":"Anais ... Workshops do Congresso Brasileiro de Informática na Educação","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Bureau for International Education","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.005415275,0.002060789,0.002210203,0.001393389,0.00205103,0.01041174,0.004927882,0.001472516,0.0004478092],"category_scores_gemma":[0.003675137,0.002198296,0.0009605747,0.003803927,0.001165023,0.002912384,0.001975643,0.002945578,0.001129519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753992,"about_ca_system_score_gemma":0.005386259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009370372,"about_ca_topic_score_gemma":0.0009044458,"domain_scores_codex":[0.9862055,0.001352222,0.002936653,0.002385218,0.002610029,0.004510444],"domain_scores_gemma":[0.9860758,0.002314447,0.001559941,0.004608447,0.001801514,0.003639863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.001897991,0.002663104,0.1546419,0.0008880354,0.001987572,0.004064522,0.2429879,0.002991368,0.0008105517,0.006803248,0.3809532,0.1993107],"study_design_scores_gemma":[0.01986266,0.004167024,0.2371112,0.0129758,0.002997015,0.009694454,0.4076217,0.1351783,0.01134416,0.002628836,0.1410554,0.0153634],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653425,0.007571934,0.0130689,0.002331658,0.005980738,0.001647295,0.0001450665,0.0008574456,0.003054472],"genre_scores_gemma":[0.9818522,0.0003119903,0.005444234,0.003154485,0.001161069,0.0001846884,0.0001070927,0.0002664844,0.007517757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2398978,"threshold_uncertainty_score":0.9998238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04724570109940075,"score_gpt":0.3125689668569495,"score_spread":0.2653232657575487,"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."}}