{"id":"W4411617380","doi":"10.51847/xsne1c9","title":"10.51847/XSNe1c9","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique","keywords":"Mediterranean climate; Nutrient; Environmental science; Spatial distribution; Hydrology (agriculture); Physical geography; Geography; Oceanography; Geology; Ecology; Archaeology; Remote sensing; Biology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007706459,0.001036668,0.0005549632,0.001654263,0.00112233,0.002900818,0.001070222,0.002250887,0.9365501],"category_scores_gemma":[0.00102215,0.0004031885,0.0004819551,0.00158656,0.0007169621,0.00162804,0.002159508,0.0009156666,0.9307337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008636934,"about_ca_system_score_gemma":0.0006863372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003291917,"about_ca_topic_score_gemma":0.004379893,"domain_scores_codex":[0.9994867,0.00003690522,0.00004218167,0.0001554031,0.0001975761,0.00008124125],"domain_scores_gemma":[0.9987972,0.0001512908,0.00006276385,0.000252296,0.0005038422,0.000232567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002702105,0.0002727334,0.002479548,0.0002706639,0.00002317571,0.0003211145,0.0001097347,0.0006598981,0.008404186,0.00712553,0.2231069,0.7569563],"study_design_scores_gemma":[0.00002768868,0.00004595419,0.001689424,0.0001023075,0.000007813363,0.0002606093,0.00007695138,0.0006650873,0.001762167,0.001000678,0.9943446,0.00001664771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004041325,0.0006189575,0.003398994,0.0008848385,0.001038787,0.00009880529,0.002314023,0.002172988,0.9854313],"genre_scores_gemma":[0.004301825,0.0001492202,0.001107967,0.0002059433,0.00006954669,0.00002871001,0.001480882,0.0002100292,0.9924459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06344992,"threshold_uncertainty_score":0.09050363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009866020403357142,"score_gpt":0.2034937835970357,"score_spread":0.1936277631936786,"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."}}