{"id":"W2950175362","doi":"","title":"MULTI-ELEMENTAL CHARACTERIZATION OF CROATIAN BOTTLED WATERS BY ICP-AES","year":2018,"lang":"en","type":"article","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bottled water; Bottle; Leaching (pedology); Environmental science; Human health; Environmental chemistry; Chemistry; Environmental engineering; Engineering; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001180117,0.001022513,0.0009311599,0.004119298,0.001032086,0.001472791,0.001147541,0.0009618473,0.003067261],"category_scores_gemma":[0.0009644299,0.0004022277,0.0009386922,0.002025841,0.000657669,0.0006790189,0.0007005582,0.0008977712,0.001438551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006866385,"about_ca_system_score_gemma":0.000981307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006908279,"about_ca_topic_score_gemma":0.01160555,"domain_scores_codex":[0.997043,0.0001082866,0.0001236512,0.0005673799,0.002036763,0.0001210476],"domain_scores_gemma":[0.9996173,0.0000480038,0.00004531647,0.00002300922,0.0002544069,0.00001186918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003271813,0.0001565127,0.01100431,0.001080538,0.0001906282,0.0005809841,0.0006220167,0.00132604,0.8944762,0.001014544,0.002599221,0.08662187],"study_design_scores_gemma":[0.00002512441,0.0002469637,0.05763321,0.0003117929,0.0001767846,0.001542836,0.0007873128,0.01039185,0.8282883,0.0009350608,0.09951622,0.0001446685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7134427,0.01561297,0.2069245,0.0006126378,0.001219327,0.001085191,0.01791689,0.003054049,0.04013174],"genre_scores_gemma":[0.6626707,0.01189893,0.2841425,0.0009625828,0.0001775393,0.001052795,0.008128759,0.001311083,0.02965508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006908279,"threshold_uncertainty_score":0.01373613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006664873744561,"score_gpt":0.2374937505041991,"score_spread":0.2274271017667535,"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."}}