{"id":"W4292827032","doi":"10.21577/0100-4042.20170930","title":"PERFIL CIENTOMÉTRICO DA QUIMIOMETRIA NO BRASIL","year":2022,"lang":"en","type":"article","venue":"Química Nova","topic":"Chemistry Education and Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Chemometrics; Data science; Sociology of scientific knowledge; Maturity (psychological); Scientometrics; Computer science; Social science; Library science; Sociology; 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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01649248,0.001607743,0.002500124,0.02546715,0.001996662,0.006047573,0.0008571947,0.00102786,0.005626563],"category_scores_gemma":[0.09495509,0.0007442519,0.001632754,0.04285265,0.00316669,0.003156591,0.002489344,0.001395958,0.001630086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005966012,"about_ca_system_score_gemma":0.004207621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03551881,"about_ca_topic_score_gemma":0.02835583,"domain_scores_codex":[0.982563,0.00569725,0.001448569,0.001984093,0.007546003,0.0007610813],"domain_scores_gemma":[0.9537404,0.03034027,0.003216724,0.004613372,0.007577042,0.000512149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003086991,0.0001642566,0.2621418,0.004229313,0.0005037726,0.0008826721,0.01272999,0.0186193,0.004769042,0.1838611,0.012596,0.499194],"study_design_scores_gemma":[0.00006956657,0.0003389773,0.4739634,0.00267928,0.0005720412,0.003599706,0.01285944,0.0823771,0.008647777,0.1225782,0.2919531,0.0003615662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5981884,0.02682456,0.121158,0.004407799,0.0005328265,0.0006568801,0.01945468,0.00273222,0.2260447],"genre_scores_gemma":[0.9286238,0.007213912,0.05621615,0.0001503691,0.0001473381,0.0003365994,0.003379806,0.0002996962,0.003632333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9745328,"threshold_uncertainty_score":0.08722162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1148650707411074,"score_gpt":0.4316825686821469,"score_spread":0.3168174979410395,"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."}}