{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000295647,0.00006006418,0.0000625455,0.00003574749,0.00002996404,0.00001765501,0.00004035328,0.00003028119,0.001230679],"category_scores_gemma":[0.000003991946,0.00005430244,0.00001455728,0.00006560405,0.00002407035,0.0001967699,0.000004614923,0.00002464802,0.0001041859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001125578,"about_ca_system_score_gemma":0.00000384201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006888269,"about_ca_topic_score_gemma":0.00001240783,"domain_scores_codex":[0.9996367,0.000005131646,0.0001537142,0.00006411855,0.00006359661,0.00007674305],"domain_scores_gemma":[0.9998448,0.000004139073,0.00002348254,0.00005669383,0.00004335912,0.00002751388],"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":[0.000003345411,0.00002117794,0.0005472575,0.0000180025,0.00001071868,6.215296e-8,0.000322191,0.00001168534,0.9951557,0.00002887445,0.003247739,0.0006332635],"study_design_scores_gemma":[0.0002372905,0.00002593269,0.002719344,0.000004652275,0.000003612352,7.131595e-7,0.0001075864,0.01539353,0.945794,0.000002693313,0.03562758,0.00008304159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911431,0.00001118565,0.07902638,0.00009076826,0.0003177898,0.0001015114,0.00002389951,0.0002402771,0.00875719],"genre_scores_gemma":[0.9945958,0.00002102254,0.0009680092,0.00008257907,0.00003427542,0.00000536779,0.0001060732,0.00001054566,0.004176297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08316483,"threshold_uncertainty_score":0.9996823,"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."}}