{"id":"W4406535291","doi":"10.1016/0967-0653(93)92537-t","title":"10.1016/0967-0653(93)92537-t","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":false,"ca_institutions":"","funders":"","keywords":"Genetic algorithm; Seawater; Metalloid; Environmental chemistry; Environmental science; Chemistry; Oceanography; Biology; Geology; Ecology; Metal","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":[0.001042357,0.002286613,0.001664186,0.002509169,0.002552612,0.003422127,0.003259195,0.005488869,0.9893637],"category_scores_gemma":[0.001820746,0.001032293,0.00149008,0.002308473,0.002007627,0.004684556,0.002836812,0.002321692,0.9924138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008994858,"about_ca_system_score_gemma":0.0009238647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00586654,"about_ca_topic_score_gemma":0.004420191,"domain_scores_codex":[0.9994541,0.00003616959,0.00004829394,0.0001818625,0.0001504929,0.0001291004],"domain_scores_gemma":[0.9977792,0.0005840643,0.0001197737,0.0002421581,0.0004792544,0.0007955485],"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":[0.0004018573,0.0003023209,0.001097397,0.0006306539,0.00003840263,0.0003186836,0.0001366466,0.0004590074,0.002641939,0.004343928,0.3872652,0.6023639],"study_design_scores_gemma":[0.00005389179,0.0001462084,0.0009419328,0.000324135,0.00001619424,0.0003831136,0.000148365,0.0001803199,0.0003989667,0.0006003939,0.9967836,0.00002291288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000483454,0.0003242414,0.0006225544,0.0004422715,0.0003149316,0.0001143656,0.0006982752,0.0007386754,0.9962611],"genre_scores_gemma":[0.0006838213,0.0001974831,0.0003548794,0.0002501076,0.0000810703,0.00005309495,0.0003887593,0.0001484908,0.9978422],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01063633,"threshold_uncertainty_score":0.01517135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009410741517291966,"score_gpt":0.1915020966631309,"score_spread":0.182091355145839,"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."}}