{"id":"W4411657518","doi":"10.51847/b37ltgt","title":"10.51847/B37lTgt","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bayesian probability; Computer science; Variable (mathematics); Pattern recognition (psychology); Artificial intelligence; Hierarchical database model; Data mining; Mathematics","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":[],"category_scores_codex":[0.0004419572,0.0009014339,0.0006066441,0.002096674,0.001200149,0.002325264,0.001253381,0.00274032,0.9752781],"category_scores_gemma":[0.0008111966,0.0004817611,0.0006101798,0.001674666,0.0007567584,0.001783111,0.001810305,0.001093042,0.9785735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106279,"about_ca_system_score_gemma":0.000541844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004948732,"about_ca_topic_score_gemma":0.004339039,"domain_scores_codex":[0.9997193,0.00001321727,0.00001403618,0.00007453409,0.0001082615,0.00007065891],"domain_scores_gemma":[0.9992685,0.0001235267,0.00003465612,0.0001556158,0.0002189649,0.0001988317],"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":[0.0002335356,0.000189687,0.0007767893,0.0002317235,0.00001376024,0.0001888102,0.00007069602,0.000327147,0.007315119,0.005275389,0.4453269,0.5400504],"study_design_scores_gemma":[0.00002699246,0.00003718691,0.0007004267,0.00008573934,0.000006463461,0.0001735999,0.00006211272,0.0002976868,0.001390038,0.000863849,0.9963445,0.00001143552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009438822,0.0001854745,0.001770623,0.0005328156,0.0003865223,0.00007026324,0.00165145,0.002801793,0.9916573],"genre_scores_gemma":[0.001901393,0.00008449835,0.0005865936,0.0001454944,0.00003096851,0.00002767258,0.0008589632,0.000359893,0.9960045],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02472186,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254536245436003,"score_gpt":0.1988246628034782,"score_spread":0.1862793003491181,"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."}}