{"id":"W4386291856","doi":"10.5539/cis.v16n3p30","title":"Drawbacks of Traditional Environmental Monitoring Systems","year":2023,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Process (computing); Quality (philosophy); Sample (material); Risk analysis (engineering)","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":[],"consensus_categories":[],"category_scores_codex":[0.008058522,0.0008082206,0.0007765028,0.002855138,0.001332606,0.002700858,0.004214915,0.002780336,0.005159981],"category_scores_gemma":[0.02376995,0.0006914061,0.0005414379,0.003931814,0.001109018,0.005346092,0.003692371,0.001922536,0.005840606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307748,"about_ca_system_score_gemma":0.001480596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003771977,"about_ca_topic_score_gemma":0.002211684,"domain_scores_codex":[0.9848978,0.002246622,0.0007401877,0.001692103,0.009999011,0.0004243509],"domain_scores_gemma":[0.9670588,0.01070268,0.002247204,0.005367468,0.0141287,0.0004951031],"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":[0.0007411672,0.0002311657,0.02783358,0.003810044,0.0003189743,0.0004486062,0.001777396,0.006403081,0.02088122,0.04059938,0.0668442,0.8301112],"study_design_scores_gemma":[0.0001032583,0.0006150332,0.02764,0.00186548,0.0005613656,0.005132117,0.00280453,0.05085639,0.05043717,0.04385296,0.8156821,0.00044978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08360671,0.03624655,0.7216526,0.0218149,0.002893557,0.001296407,0.003904133,0.01285217,0.1157329],"genre_scores_gemma":[0.5824993,0.01909062,0.3351588,0.008862507,0.00200763,0.001305991,0.002830464,0.0007525286,0.04749228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008058522,"threshold_uncertainty_score":0.04261804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117473113781925,"score_gpt":0.2474315175723209,"score_spread":0.2162567864345016,"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."}}