{"id":"W4402477391","doi":"10.11159/icepr24.149","title":"ENVIRONMENTAL POLLUTION OF THE CASPIAN REGION OF AZERBAIJAN","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollution; Environmental pollution; Environmental protection; Environmental planning; Computer science; Environmental science; Ecology","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":[0.0001540562,0.0004252458,0.0003077302,0.001102014,0.0007622914,0.0007591242,0.0001912653,0.0003444472,0.0009952054],"category_scores_gemma":[0.0001043638,0.0001238841,0.0001613337,0.000878406,0.0004754594,0.0002519385,0.0003316553,0.0001645542,0.0001094337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257606,"about_ca_system_score_gemma":0.001082999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05961213,"about_ca_topic_score_gemma":0.04973032,"domain_scores_codex":[0.9998287,0.00002468799,0.0000116599,0.00003902434,0.00006561464,0.00003019631],"domain_scores_gemma":[0.9999467,0.000006946799,0.00001531892,0.000002507345,0.00002410602,0.000004394523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006233712,0.0001781944,0.7215517,0.001518724,0.000662048,0.006305269,0.0045233,0.004951359,0.1520759,0.002178768,0.003120973,0.1023104],"study_design_scores_gemma":[0.00001498338,0.00007339954,0.9842706,0.00004344882,0.00006582461,0.0006522475,0.001838097,0.0005974131,0.004653466,0.0002251024,0.007550634,0.00001472809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927195,0.00195801,0.0002970192,0.000203349,0.00002765933,0.00002011875,0.0007339275,0.00001974261,0.00402051],"genre_scores_gemma":[0.9970982,0.0009615802,0.0005032236,0.00005814945,0.00001783453,0.00001098224,0.0003515867,0.000004108041,0.0009942788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05961213,"threshold_uncertainty_score":0.1185303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084416729599182,"score_gpt":0.1878216845587929,"score_spread":0.1769775172628011,"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."}}