{"id":"W2992601584","doi":"10.33262/concienciadigital.v1i2.947","title":"Efectos de la contaminación ambiental en la flora y fauna en el cantón La Maná","year":2018,"lang":"es","type":"article","venue":"ConcienciaDigital","topic":"Public Health and Environmental Issues","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Fauna; Geography; Flora (microbiology); Forestry; Art; Biology; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002773826,0.0003036263,0.0002149925,0.0005534199,0.0007764631,0.001361555,0.0002501445,0.0003276311,0.004067255],"category_scores_gemma":[0.0003510219,0.0002082092,0.000253658,0.0005761698,0.0005502913,0.0002353583,0.0005981398,0.0003040046,0.0004292117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473452,"about_ca_system_score_gemma":0.0009525997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07112429,"about_ca_topic_score_gemma":0.1465517,"domain_scores_codex":[0.99968,0.00006290716,0.000009442792,0.00009098578,0.00008894016,0.00006776091],"domain_scores_gemma":[0.9995882,0.00005813937,0.00009363727,0.000017262,0.0001701263,0.00007255816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002114105,0.0004361921,0.5969565,0.000509438,0.0002163919,0.0009978645,0.005106886,0.001237133,0.3069274,0.001437914,0.002127937,0.08193233],"study_design_scores_gemma":[0.00001188308,0.0008707163,0.9669619,0.00005000315,0.00009165318,0.0001771202,0.002772662,0.0006754631,0.01678572,0.0003614411,0.0112112,0.00003021968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931349,0.0005954721,0.0003435727,0.000132907,0.00001911467,0.00001156683,0.0002617173,0.00001857551,0.005482158],"genre_scores_gemma":[0.9877391,0.0006509441,0.00068965,0.00006965443,0.00001075663,0.00001803188,0.00026128,0.000008703221,0.01055181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07112429,"threshold_uncertainty_score":0.1414206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00484164337604132,"score_gpt":0.2803183882658613,"score_spread":0.27547674488982,"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."}}