{"id":"W7016171067","doi":"","title":"Đánh giá rủi ro sinh thái do tích luỹ kim loại nặng trong trầm tích mặt tại sông Bồng Miêu, Quảng Nam","year":2023,"lang":"vi","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Geodetic Measurements and Engineering Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Southeast asia; Central asia; Nova scotia; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003353858,0.00170301,0.002598008,0.00234818,0.0008441206,0.004434336,0.005328369,0.000700144,0.01802975],"category_scores_gemma":[0.00082149,0.001686518,0.0008727469,0.003353703,0.0002128073,0.002869953,0.00154617,0.002247618,0.0002941626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006082365,"about_ca_system_score_gemma":0.0002667684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545828,"about_ca_topic_score_gemma":0.0001193893,"domain_scores_codex":[0.9902129,0.0004479771,0.0028191,0.001447897,0.002657669,0.00241444],"domain_scores_gemma":[0.9949464,0.0006010789,0.00103877,0.00174833,0.0005839347,0.001081448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003205508,0.000371168,0.1050553,0.003562515,0.003611688,0.0006730189,0.002439524,0.4251529,0.2234708,0.0003878703,0.1657849,0.06916974],"study_design_scores_gemma":[0.003054551,0.00005577324,0.8784975,0.005365758,0.0009581702,0.0001192955,0.0008781364,0.02043327,0.02405465,0.002957836,0.05991404,0.003710998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917289,0.07486646,0.00258692,0.0004713136,0.01289743,0.001871457,0.0002875172,0.0008167219,0.01447329],"genre_scores_gemma":[0.9765418,0.01846938,0.0007630567,0.0001346494,0.001552881,0.0001102266,0.00007339623,0.0005067712,0.00184782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7734422,"threshold_uncertainty_score":0.9995716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2549434635632101,"score_gpt":0.5248166881346834,"score_spread":0.2698732245714733,"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."}}