{"id":"W1520366212","doi":"","title":"Liquids: Laterals and Rhotics or Much More?","year":2005,"lang":"en","type":"article","venue":"The Sydney eScholarship Repository (The University of Sydney)","topic":"Molecular spectroscopy and chirality","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science","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":[0.0004286071,0.0002443957,0.0002831829,0.00004196749,0.0008531362,0.00008124363,0.0008889249,0.0002037178,0.0004541101],"category_scores_gemma":[0.00008782284,0.0001688855,0.0001692258,0.0001476739,0.0006293029,0.0002840223,0.0002777203,0.0006545814,0.00002985665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001150985,"about_ca_system_score_gemma":0.0001032479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001372495,"about_ca_topic_score_gemma":0.00003525603,"domain_scores_codex":[0.9984878,0.0001751595,0.0002695989,0.0003595655,0.0003740723,0.0003338243],"domain_scores_gemma":[0.9984099,0.000142033,0.0002331509,0.0009368142,0.0001014096,0.000176713],"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":[0.001508259,0.000422222,0.009782,0.0004467457,0.000649335,0.0002838191,0.01125328,0.0001035611,0.9661914,0.005545367,0.002114693,0.001699388],"study_design_scores_gemma":[0.001836428,0.0001522532,0.009301983,0.0003478261,0.0006446238,0.0003862086,0.004012007,0.0005150475,0.8769445,0.0007416908,0.1043638,0.0007536041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768289,0.0003631269,0.00006059292,0.002199834,0.00008804677,0.0001233158,0.00001211686,0.0000875382,0.02023657],"genre_scores_gemma":[0.9849529,0.0001358814,0.0004539784,0.0003568003,0.000163923,5.876699e-7,0.000005665017,0.00002298436,0.01390727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1022491,"threshold_uncertainty_score":0.688695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117661366462369,"score_gpt":0.2207226341423553,"score_spread":0.2095460204777316,"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."}}