{"id":"W2338825006","doi":"10.17271/1984324081320151148","title":"AVALIAÇÃO DOS ATRIBUTOS FÍSICO-HÍDRICOS DOS SOLOS EM IGUARAÇU-PR: SUBSÍDIOS PARA O MANEJO E CONSERVAÇÃO DO SOLO E DA ÁGUA","year":2015,"lang":"pt","type":"article","venue":"Revista Científica ANAP Brasil","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oxisol; Hydric soil; Ultisol; Penetrometer; Environmental science; Soil water; Hydraulic conductivity; Soil physics; Soil texture; Forestry; Soil science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001651643,0.001372343,0.001595313,0.0001867546,0.00108922,0.00243543,0.002576261,0.000796248,0.003901852],"category_scores_gemma":[0.0005694916,0.0007683863,0.001027668,0.002564095,0.0005375965,0.0006601734,0.0009989949,0.000882588,0.004829293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000307473,"about_ca_system_score_gemma":0.0001732969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002369983,"about_ca_topic_score_gemma":0.0003770023,"domain_scores_codex":[0.9909442,0.0007765023,0.001696907,0.00233976,0.001914436,0.002328174],"domain_scores_gemma":[0.9954781,0.0004843593,0.0009729272,0.001088187,0.000575612,0.001400849],"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":[0.001348807,0.003566126,0.1901537,0.001100787,0.001130834,0.001233166,0.004888483,0.00004485927,0.01869602,0.01531171,0.6580775,0.104448],"study_design_scores_gemma":[0.00424241,0.003192013,0.1888146,0.0007777479,0.001264515,0.0001328379,0.02074386,0.00167694,0.001428281,0.00047749,0.7727408,0.004508537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784316,0.006379247,0.00006047586,0.006331615,0.001423138,0.002286743,0.0004071642,0.0004858664,0.004194186],"genre_scores_gemma":[0.980547,0.0008963973,0.00004621604,0.002622167,0.001204856,0.0001321917,0.0004825702,0.00003162421,0.01403704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146633,"threshold_uncertainty_score":0.9999027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08014185507576306,"score_gpt":0.2841595044598449,"score_spread":0.2040176493840819,"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."}}