{"id":"W4320026440","doi":"10.51189/ii-econline/13556","title":"TILAPICULTURA E IMPACTOS AMBIENTAIS","year":2022,"lang":"pt","type":"article","venue":"","topic":"Environmental Sustainability and Education","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004031258,0.0002285226,0.0001554027,0.00003738139,0.001179219,0.00006377461,0.0004401716,0.00005425541,0.3076156],"category_scores_gemma":[0.00002065901,0.00022462,0.000136984,0.0004296794,0.0002302165,0.0003497732,0.00111722,0.0003819894,0.003025142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003085362,"about_ca_system_score_gemma":0.00002882808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00189258,"about_ca_topic_score_gemma":0.00006533303,"domain_scores_codex":[0.9976733,0.0002149302,0.0002892643,0.0005598801,0.0006896993,0.0005729464],"domain_scores_gemma":[0.999166,0.00003500405,0.0001022208,0.000446842,0.000002992305,0.0002469548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001664844,0.004467719,0.5625679,0.00006823504,0.00007735565,0.00003743274,0.02976733,0.01815742,0.01801342,0.0006751078,0.3366846,0.02931697],"study_design_scores_gemma":[0.0004743439,0.0006295245,0.6239116,0.00000315016,0.0000508854,0.00005071488,0.08639852,0.0008106056,0.001875637,0.0004384648,0.2847311,0.0006255752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719465,0.0001264915,0.00006607292,0.005143871,0.0007528117,0.0005940138,0.000055553,0.00005325094,0.0212614],"genre_scores_gemma":[0.9117657,0.00002416239,0.00004601346,0.00139607,0.00005028641,0.0001024762,0.00005055442,0.00001820435,0.08654656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3045904,"threshold_uncertainty_score":0.9977511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008337497390868755,"score_gpt":0.2273555763070861,"score_spread":0.2190180789162173,"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."}}