{"id":"W2903913827","doi":"10.5902/1980509835049","title":"ATRIBUTOS MICROBIOLÓGICOS E ESTRUTURA DE COMUNIDADES BACTERIANAS COMO INDICADORES DA QUALIDADE DO SOLO EM PLANTIOS FLORESTAIS NA MATA ATLÂNTICA","year":2018,"lang":"pt","type":"article","venue":"Ciência Florestal","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Forestry; Biology; Geography","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007394452,0.0009378344,0.0008650761,0.0001461626,0.001383436,0.002175782,0.002028915,0.0008033115,0.004774507],"category_scores_gemma":[0.000263532,0.0005332985,0.0004696868,0.001052105,0.001225848,0.000500415,0.001177515,0.000705092,0.001722416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621854,"about_ca_system_score_gemma":0.0001070585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006986828,"about_ca_topic_score_gemma":0.001795147,"domain_scores_codex":[0.9946923,0.000467887,0.0009982765,0.00126426,0.0006563836,0.001920926],"domain_scores_gemma":[0.9976519,0.0004237404,0.000517758,0.0005661054,0.0002242023,0.0006163302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002164559,0.001670897,0.4476704,0.0006224241,0.001213334,0.0008849968,0.01179548,0.000007949147,0.2475567,0.007254434,0.2145212,0.06463769],"study_design_scores_gemma":[0.001440069,0.001921512,0.9057125,0.0006266104,0.0004015127,0.0001258943,0.01408583,0.0004404252,0.01344569,0.0006327947,0.05902557,0.002141637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992561,0.0004479657,0.00004326722,0.001814404,0.001635001,0.0008455892,0.001106626,0.0003223373,0.001223744],"genre_scores_gemma":[0.9930608,0.0001916234,0.0001010331,0.0007984367,0.003105312,0.00003765852,0.001127645,0.00002424114,0.0015532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4580421,"threshold_uncertainty_score":0.9999166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109685304216733,"score_gpt":0.2482576237410682,"score_spread":0.2271607706989008,"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."}}