{"id":"W7007772075","doi":"","title":"ALGEBRAIC vs. NUMERICAL METHODS FOR DIATOMIC DATA ANALYSIS: END TO A DISPUTE","year":2004,"lang":"en","type":"article","venue":"The Knowledge Bank (The Ohio State University)","topic":"Molecular spectroscopy and chirality","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diatomic molecule; Assertion; Algebraic number; Truncation (statistics); Numerical analysis; Set (abstract data type); Potential energy; Reduction (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0005714823,0.0002594933,0.00037165,0.0001553806,0.0004702999,0.00006558813,0.002237277,0.0000752408,0.000287929],"category_scores_gemma":[0.0001028319,0.0001857176,0.0002930513,0.001290124,0.0001533543,0.0001326208,0.0008505179,0.0002789133,0.0001083793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002603773,"about_ca_system_score_gemma":0.000181264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001088808,"about_ca_topic_score_gemma":0.0003248043,"domain_scores_codex":[0.9983546,0.0002032166,0.0002126081,0.000618289,0.000136352,0.0004749129],"domain_scores_gemma":[0.9974229,0.0003134302,0.000116688,0.001898629,0.00007239591,0.0001759014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007202841,0.004072916,0.002101231,0.00100048,0.0284954,0.0003534161,0.04738672,0.01053872,0.1952171,0.4714521,0.008417779,0.2237612],"study_design_scores_gemma":[0.002779769,0.0001360926,0.001254687,0.00005302213,0.005017353,0.00001022088,0.0005778727,0.009295328,0.08074541,0.01045764,0.8886663,0.001006304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07861421,0.0003078582,0.8942566,0.002337586,0.0001461956,0.0004185696,0.0003417711,0.0001702975,0.0234069],"genre_scores_gemma":[0.9540169,0.0001146143,0.02849789,0.0004399463,0.0002739388,0.00001315874,0.000364837,0.00007533278,0.01620338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8802485,"threshold_uncertainty_score":0.7573344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170600692716053,"score_gpt":0.3039878591334409,"score_spread":0.2822818522062804,"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."}}