{"id":"W4406531758","doi":"10.1016/0967-0653(95)99627-4","title":"10.1016/0967-0653(95)99627-4","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":"Methylmercury; Mercury (programming language); Environmental science; Environmental chemistry; Chemistry; Bioaccumulation","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":[0.001200243,0.002852536,0.002058696,0.002804708,0.002782926,0.0041957,0.00367658,0.00591207,0.9904128],"category_scores_gemma":[0.001781153,0.001222244,0.001684955,0.002516265,0.002515008,0.005244314,0.003397258,0.00279682,0.9937192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191881,"about_ca_system_score_gemma":0.0009784494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005920491,"about_ca_topic_score_gemma":0.0048128,"domain_scores_codex":[0.9993694,0.00004162373,0.00006009597,0.0002201089,0.0001673625,0.0001414597],"domain_scores_gemma":[0.9977021,0.0006100729,0.0001282791,0.0002545725,0.0005635022,0.0007414096],"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":[0.0004512858,0.0002944606,0.00107697,0.0006911498,0.00004999158,0.0003004415,0.0001363541,0.0004644776,0.002474213,0.004660512,0.4070445,0.5823556],"study_design_scores_gemma":[0.00006724882,0.0001531718,0.000856581,0.0004084935,0.00001717849,0.0003577759,0.0001647605,0.0001740206,0.0004044377,0.0006512682,0.996717,0.00002804305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004465344,0.0003783951,0.0005146615,0.000389451,0.000280536,0.0001131105,0.0006892711,0.0007313403,0.9964567],"genre_scores_gemma":[0.0005613035,0.0002217911,0.0002748163,0.0002373307,0.00006509288,0.00005684258,0.0003558582,0.000139166,0.9980877],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009587228,"threshold_uncertainty_score":0.01367503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008959046145833477,"score_gpt":0.1925423754866825,"score_spread":0.183583329340849,"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."}}