{"id":"W2163926920","doi":"10.1016/s0039-9140(00)00284-8","title":"How to succeed in analytical chemistry: a bibliography of resources from the literature","year":2000,"lang":"en","type":"article","venue":"Talanta","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Excellence; Chemist; Publishing; Engineering ethics; Analytical Chemistry (journal); Library science; Epistemology; Literature; Environmental chemistry; Organic chemistry; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003741417,0.00009548785,0.0001619561,0.0001830336,0.00002818113,0.00007373393,0.0003114237,0.000078989,0.000872113],"category_scores_gemma":[0.00001332032,0.00006308165,0.0001145688,0.005367059,0.000046548,0.0000252422,0.00002650041,0.0001713739,0.000009070832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004091352,"about_ca_system_score_gemma":0.00000370071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001465153,"about_ca_topic_score_gemma":0.0000290976,"domain_scores_codex":[0.9993337,0.000005836769,0.0001471606,0.0002136103,0.0001458679,0.0001538128],"domain_scores_gemma":[0.9994612,0.00008324074,0.00003300525,0.0003392589,0.00001966816,0.00006368112],"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":[0.00004108203,0.00009590627,0.01572261,0.00001866922,0.00005622444,0.000002679146,0.0002629221,0.000003951936,0.9684928,0.00002443939,0.0145008,0.0007778808],"study_design_scores_gemma":[0.0004631488,0.0000113377,0.006874733,0.0002397061,0.0001115039,0.00000430211,0.0003013547,0.0005783576,0.8091685,0.0009757478,0.18097,0.0003013884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983833,0.0003942648,9.314376e-7,0.002674014,7.769533e-7,0.00002565317,0.0001019685,0.00001708775,0.01295237],"genre_scores_gemma":[0.9973919,0.0004062082,0.00002337151,0.0001155322,0.0001014889,0.00001593262,0.0001264811,0.000006926647,0.001812156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1664692,"threshold_uncertainty_score":0.9549026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004925235319111899,"score_gpt":0.2145109389125765,"score_spread":0.2095857035934646,"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."}}