{"id":"W4406467539","doi":"10.1016/0967-0653(96)81871-0","title":"10.1016/0967-0653(96)81871-0","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Environmental chemistry; Microorganism; Natural (archaeology); Environmental science; Chemistry; Geology; Bacteria; Computer science; Paleontology","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":[0.001113673,0.002480696,0.001767462,0.00245898,0.00241214,0.003706138,0.003142386,0.00506772,0.9899116],"category_scores_gemma":[0.001744235,0.001024417,0.001520788,0.002156634,0.002047326,0.004778076,0.003083735,0.00249755,0.992541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066136,"about_ca_system_score_gemma":0.0009404378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00598582,"about_ca_topic_score_gemma":0.004976451,"domain_scores_codex":[0.9994218,0.00004056989,0.00005212686,0.0001883713,0.0001601487,0.0001369299],"domain_scores_gemma":[0.9976339,0.0005823596,0.0001209578,0.0002662666,0.0005610227,0.0008354463],"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":[0.0003933952,0.0002699142,0.0009931142,0.0005976569,0.00004056307,0.0002535338,0.0001201869,0.0004242024,0.002157278,0.004308055,0.3889698,0.6014723],"study_design_scores_gemma":[0.00005378794,0.000132611,0.0008999821,0.000352849,0.00001429981,0.0003291673,0.0001469534,0.0001511759,0.000333716,0.0005314903,0.9970303,0.0000236976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004057866,0.0003095369,0.0004861342,0.0003525266,0.0002589338,0.0001040905,0.0005437243,0.0006436554,0.9968956],"genre_scores_gemma":[0.0005195914,0.0001994552,0.000267877,0.0002112143,0.00006418609,0.00004924915,0.0003079217,0.0001216368,0.9982589],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01008838,"threshold_uncertainty_score":0.01438987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00887700881345492,"score_gpt":0.1919345247484067,"score_spread":0.1830575159349518,"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."}}