{"id":"W4285668449","doi":"10.52664/rima.v2.n1.2020.e69","title":"Análise do disclosure dos gastos ambientais em empresas brasileiras de alto impacto Ambiental","year":2020,"lang":"pt","type":"article","venue":"REVISTA INTERDISCIPLINAR E DO MEIO AMBIENTE (RIMA)","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Agricultural science; Welfare economics; Biology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.005732483,0.0003167901,0.0005110433,0.002312438,0.001101113,0.002019774,0.0006117355,0.0005193041,0.002525094],"category_scores_gemma":[0.0206646,0.000280513,0.0005971561,0.003897789,0.0008200849,0.001223559,0.001793904,0.0007703673,0.0002391262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711303,"about_ca_system_score_gemma":0.003198109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08150182,"about_ca_topic_score_gemma":0.103441,"domain_scores_codex":[0.9950143,0.00202354,0.0005669925,0.0006272564,0.001368035,0.0004000304],"domain_scores_gemma":[0.9778531,0.008305284,0.005085619,0.001998963,0.006013741,0.0007433273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002935394,0.00008078379,0.8393381,0.001433489,0.0003278112,0.0003188009,0.03638238,0.000485076,0.001671385,0.002808295,0.003572603,0.1132877],"study_design_scores_gemma":[0.00001181036,0.0001857791,0.945736,0.0006561644,0.0001702498,0.0001848996,0.02576014,0.0007005998,0.0008121614,0.0007735643,0.02496273,0.00004575356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630451,0.003743853,0.003836062,0.001980166,0.00007149565,0.0003403976,0.00542599,0.00006106483,0.02149593],"genre_scores_gemma":[0.9900648,0.001925711,0.002860819,0.0002373916,0.00004481857,0.0002571504,0.001171739,0.00001388192,0.00342363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08150182,"threshold_uncertainty_score":0.1620548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07012217810863419,"score_gpt":0.3635274608689957,"score_spread":0.2934052827603615,"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."}}