{"id":"W4406526677","doi":"10.1016/0967-0653(96)90603-1","title":"10.1016/0967-0653(96)90603-1","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Particulates; Mercury (programming language); Arctic; The arctic; Environmental science; Environmental chemistry; Particulate organic matter; Chemistry; Oceanography; Geology","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":[0.001096216,0.002479535,0.001810583,0.00237049,0.002459226,0.003684836,0.003087892,0.005030657,0.9893414],"category_scores_gemma":[0.001691186,0.001018942,0.001422181,0.002172159,0.00204274,0.004768257,0.002904222,0.002561884,0.9927679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104568,"about_ca_system_score_gemma":0.0009092773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005506398,"about_ca_topic_score_gemma":0.004696234,"domain_scores_codex":[0.9994531,0.00003554796,0.00004979256,0.0001830714,0.0001508854,0.0001276724],"domain_scores_gemma":[0.9978393,0.0005395697,0.0001198121,0.0002335229,0.0005118789,0.0007560558],"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":[0.0004264689,0.0002660117,0.001005742,0.0006081504,0.00003918847,0.0002646488,0.0001251635,0.000415159,0.002395167,0.004460667,0.3895456,0.600448],"study_design_scores_gemma":[0.00005630536,0.0001402873,0.0008755187,0.0003458041,0.00001390537,0.0003267981,0.0001454773,0.0001631067,0.0003691394,0.0005840213,0.9969565,0.00002309747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004450557,0.0003323703,0.0005032966,0.0003890089,0.0002568763,0.0001019959,0.0006340753,0.0006693156,0.996668],"genre_scores_gemma":[0.000575835,0.0002189038,0.0002851346,0.0002135877,0.00006694052,0.00005042024,0.0003446318,0.000128234,0.9981163],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01065856,"threshold_uncertainty_score":0.01520312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0088668644832419,"score_gpt":0.1917356896723607,"score_spread":0.1828688251891188,"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."}}