{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001070848,0.00006439596,0.00009013475,0.0001955069,0.0009971147,0.0001093178,0.0005489471,0.00004073731,0.05637676],"category_scores_gemma":[0.0007976282,0.00006716674,0.00006568332,0.002389177,0.0001952709,0.00006092596,0.0001752218,0.00026803,0.0007946221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003586342,"about_ca_system_score_gemma":0.0006766815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001801697,"about_ca_topic_score_gemma":0.00007593218,"domain_scores_codex":[0.9982018,0.0001654512,0.0001380286,0.0002372482,0.0008973829,0.0003601075],"domain_scores_gemma":[0.9992248,0.0001643439,0.00004808974,0.0002270321,0.000151852,0.0001838108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007825794,0.00102947,0.01525926,0.00003390206,0.00004465423,0.00001593867,0.0179643,0.00001149074,0.03581041,0.00902216,0.8991555,0.02157466],"study_design_scores_gemma":[0.0002409893,0.00002638975,0.001206953,0.000001696774,0.000003277755,0.000002146037,0.008499947,0.00002158954,0.0008446747,0.00007180203,0.9889603,0.0001202723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5942976,0.000136175,0.00000398922,0.008708353,0.001648899,0.000160245,0.000018401,0.00008148238,0.3949448],"genre_scores_gemma":[0.9128625,0.00002218334,0.00008730471,0.0003239639,0.0004650924,0.0000231988,0.00001945984,0.00000832264,0.08618799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3185649,"threshold_uncertainty_score":0.9999834,"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."}}