{"id":"W1986710260","doi":"10.1063/1.1562625","title":"An Eckart-frame kinetic energy operator for tetra-atomic planar molecules","year":2003,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Advanced Chemical Physics Studies","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Kinetic energy; Planar; Gravitational singularity; Operator (biology); Frame (networking); Coupling (piping); Matrix (chemical analysis); Basis (linear algebra); Potential energy; Energy (signal processing); Zero (linguistics); Physics; Classical mechanics; Chemistry; Mathematics; Mathematical analysis; Computer science; Quantum mechanics; Geometry; Materials 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006839265,0.0006499348,0.0004801883,0.0008045511,0.000670058,0.001355753,0.0009648408,0.0009928998,0.005123564],"category_scores_gemma":[0.001040335,0.0002351235,0.0006680739,0.001021058,0.002054114,0.00212291,0.0009788699,0.001627312,0.001121406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005729396,"about_ca_system_score_gemma":0.0008873703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006435114,"about_ca_topic_score_gemma":0.0005928783,"domain_scores_codex":[0.9996735,0.00005389275,0.00002226696,0.0000568204,0.0001524532,0.00004112275],"domain_scores_gemma":[0.9997597,0.0000451266,0.00003619187,0.00004838682,0.00007557528,0.00003494484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001715883,0.000011826,0.00004919889,0.00005886382,0.000004137404,0.00009823927,0.00006686633,0.00537515,0.00502183,0.9817036,0.001043483,0.006549653],"study_design_scores_gemma":[0.00003317646,0.0001035617,0.0003897452,0.00005196305,0.00001609657,0.0008122143,0.0001979891,0.1513006,0.01362177,0.8075151,0.02585465,0.0001031746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08382197,0.0009532612,0.8676676,0.0007043187,0.0007200484,0.00009746371,0.0003296058,0.0002973838,0.04540823],"genre_scores_gemma":[0.5462975,0.002335135,0.3988288,0.0005458743,0.0003964592,0.0002709483,0.0008656078,0.0004635943,0.04999604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005123564,"threshold_uncertainty_score":0.01714003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00913702081253006,"score_gpt":0.2492499782160079,"score_spread":0.2401129574034778,"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."}}