{"id":"W4392280104","doi":"","title":"Presence, fate and impact of psychotropic drugs in the Garonne estuarine (France) and the St. Lawrence River (Quebec, Canada).","year":2016,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estuary; Geography; Ecology; Biology","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":[0.0002171002,0.0002172323,0.0002306443,0.001094351,0.001268719,0.001163773,0.0004285311,0.0005307214,0.001555106],"category_scores_gemma":[0.0004206015,0.0001668616,0.000278271,0.001826532,0.0005676359,0.0003030344,0.0005480194,0.000319477,0.0003301958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007974034,"about_ca_system_score_gemma":0.004702178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9477883,"about_ca_topic_score_gemma":0.977273,"domain_scores_codex":[0.9996822,0.00002745738,0.00001565856,0.00007576057,0.0001052214,0.00009382505],"domain_scores_gemma":[0.9995062,0.00003314328,0.0001176785,0.00001227339,0.0002762023,0.00005448989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001948082,0.00005882033,0.9627681,0.0001374428,0.00009947333,0.0004566645,0.002153713,0.0004987532,0.008706988,0.0003069396,0.001969147,0.02264919],"study_design_scores_gemma":[0.000002320359,0.00005119582,0.9941565,0.00001838559,0.00001674579,0.00007350449,0.001374387,0.0001643764,0.0004055684,0.00001716427,0.003710143,0.000009662393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871366,0.002254252,0.0002191441,0.0003499851,0.00001208742,0.00002956688,0.004919812,0.00002512802,0.005053434],"genre_scores_gemma":[0.9867425,0.001174189,0.0004089592,0.0001725841,0.000004827753,0.0000215597,0.002120525,0.000008751925,0.009346081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0522117,"threshold_uncertainty_score":0.1050383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020455746590971,"score_gpt":0.2608054054197585,"score_spread":0.2506008479538488,"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."}}