{"id":"W7019186318","doi":"","title":"EVALUATION OF ENVIRONMENTAL FATE AND COMPARISON OF PESTICIDES WITH THE MULTIMEDIA MODEL CAPA","year":2003,"lang":"pt","type":"dissertation","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pesticide; Work (physics); Information system; Data collection","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005093,0.0009975011,0.0007138426,0.0006900526,0.0004732537,0.00155718,0.001344533,0.001231951,0.003222884],"category_scores_gemma":[0.003443481,0.0003236635,0.0009240474,0.0005268716,0.0002795823,0.0008383312,0.0006619627,0.000675044,0.0004340252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283224,"about_ca_system_score_gemma":0.001397065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03072581,"about_ca_topic_score_gemma":0.01496233,"domain_scores_codex":[0.9996583,0.00009752614,0.00001925168,0.00007351059,0.0001114245,0.00003990566],"domain_scores_gemma":[0.9986331,0.0007456685,0.0000732569,0.0001050636,0.0003794345,0.00006359997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005887368,0.0002230273,0.005425392,0.0003571138,0.0001470466,0.0001326894,0.00007370135,0.952158,0.01075641,0.002150623,0.001124715,0.02686254],"study_design_scores_gemma":[0.00002355181,0.0001673657,0.0006365531,0.00001148045,0.00003981009,0.00002001563,0.00002833115,0.9924333,0.005136638,0.000384723,0.001101468,0.00001668019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8085387,0.001294623,0.1552008,0.0007675291,0.0003533037,0.0005381343,0.005385358,0.004649717,0.02327166],"genre_scores_gemma":[0.9449747,0.0005082519,0.04932947,0.00009320441,0.00002066702,0.0002995906,0.001639012,0.0002522033,0.002883091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03072581,"threshold_uncertainty_score":0.06109393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08243498251343466,"score_gpt":0.3837197035281327,"score_spread":0.301284721014698,"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."}}