{"id":"W2000231090","doi":"10.1139/v04-114","title":"New method of energymass dispersion applied to mass spectral data from positively charged water vapor clusters","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Mass spectrum; Bar (unit); Water vapor; Enthalpy; Dispersion (optics); Analytical Chemistry (journal); Mass spectrometry; Vapor pressure; Condensation; Thermodynamics; Chromatography; Physics; Optics; Meteorology","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":[0.001347811,0.0009702741,0.0005825237,0.00452111,0.0007903584,0.0007888727,0.001299458,0.0007946831,0.002427573],"category_scores_gemma":[0.002982984,0.0006288388,0.0004507827,0.001925559,0.0008351288,0.001530948,0.00188257,0.002319995,0.001219185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005898181,"about_ca_system_score_gemma":0.000575481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001050826,"about_ca_topic_score_gemma":0.002407203,"domain_scores_codex":[0.9986262,0.0001271497,0.00006492559,0.0002569834,0.0008622408,0.00006248658],"domain_scores_gemma":[0.9984304,0.0005041276,0.0001923449,0.0002781743,0.000520099,0.00007474062],"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":[0.0001634501,0.0000698179,0.002904842,0.0002679931,0.0001080882,0.0002520565,0.000400145,0.001585458,0.8514616,0.008117941,0.002032573,0.132636],"study_design_scores_gemma":[0.0000598936,0.0003113346,0.01562424,0.0000522219,0.00005925265,0.002404987,0.0002252975,0.07562651,0.8613355,0.01134397,0.0326809,0.0002760606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05228899,0.001760847,0.9375969,0.0002590455,0.000445953,0.0001784367,0.0005447811,0.00324819,0.003676804],"genre_scores_gemma":[0.2476185,0.002088854,0.7379966,0.0002108424,0.000233101,0.0007293843,0.0007902524,0.0009125599,0.009419732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00452111,"threshold_uncertainty_score":0.008121073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291938625953746,"score_gpt":0.2518879921530118,"score_spread":0.2389686058934744,"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."}}