{"id":"W2938275524","doi":"10.36829/63cts.v3i2.315","title":"Uso del suelo como tratamiento secundario de aguas residuales domésticas","year":2017,"lang":"es","type":"article","venue":"Ciencia Tecnologí­a y Salud","topic":"Water Resource Management and Quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Physics; Humanities; Art","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":[0.000334401,0.0003641442,0.0008309456,0.0003684923,0.0004012392,0.001061918,0.0003809355,0.0005000534,0.001120542],"category_scores_gemma":[0.0004418997,0.000145293,0.0004570899,0.0003659607,0.0003697112,0.0003207258,0.0004438368,0.0003683257,0.0002405004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007072867,"about_ca_system_score_gemma":0.0009121878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005119708,"about_ca_topic_score_gemma":0.01069903,"domain_scores_codex":[0.9995552,0.000085274,0.00002205616,0.0001027125,0.0001728958,0.00006192307],"domain_scores_gemma":[0.9996834,0.00007031611,0.00009202243,0.00002460435,0.00009628815,0.00003339911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007331708,0.00030543,0.006242614,0.0008725105,0.00004712916,0.0001870364,0.0002803821,0.0005758166,0.9595966,0.0001580707,0.0001734166,0.03082783],"study_design_scores_gemma":[0.00006780823,0.01239418,0.04046163,0.0002020671,0.0002554696,0.0004647044,0.001029951,0.002329573,0.92269,0.0002272114,0.01983805,0.00003933972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912845,0.003585626,0.002869125,0.000167576,0.00003729165,0.0001215324,0.0001937271,0.00006849578,0.001672166],"genre_scores_gemma":[0.9842187,0.004179465,0.005977782,0.0001564874,0.00002411678,0.0001117855,0.0002063968,0.0000230877,0.005102222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005119708,"threshold_uncertainty_score":0.01017982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489805725946032,"score_gpt":0.3003481341669366,"score_spread":0.2654500769074763,"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."}}