{"id":"W3100687647","doi":"10.3934/mine.2021045","title":"Foundations of physics in Milan, Padua and Paris. Newtonian trajectories from celestial mechanics to atomic physics","year":2020,"lang":"en","type":"article","venue":"Mathematics in Engineering","topic":"Geophysics and Sensor Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Celestial mechanics; Statistical mechanics; Classical physics; Physics; Theoretical physics; Analytical mechanics; Classical mechanics; Quantum mechanics; Quantum statistical mechanics; Quantum","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":[0.00003403343,0.0001667744,0.000327231,0.00004697927,0.00001042451,0.00001646025,0.0001249135,0.0000806082,0.000002665321],"category_scores_gemma":[0.00004022572,0.0001985856,0.00003036824,0.0003677734,0.000009821466,0.00005637143,0.00004818425,0.0002079397,0.000005176508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000037003,"about_ca_system_score_gemma":0.000007644753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003234333,"about_ca_topic_score_gemma":0.00003527768,"domain_scores_codex":[0.9992728,0.000003645224,0.000290585,0.0001438951,0.00009309399,0.0001959957],"domain_scores_gemma":[0.9996558,0.00008278336,0.00002751245,0.0001643937,0.00001483205,0.00005462116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003438163,0.00006366595,0.0008187313,0.0006613719,0.00004360153,0.00001002228,0.008299415,0.8605509,0.089968,0.037059,0.00002086667,0.002501032],"study_design_scores_gemma":[0.0002536868,0.00002110209,0.0004589246,0.00009683437,0.00001141401,5.802795e-7,0.0001689466,0.9672552,0.01989366,0.01158773,0.00004829232,0.0002035931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.600475,0.00004263162,0.3990795,0.00005118068,0.00007500593,0.0001201757,0.0000180959,0.000111966,0.00002644449],"genre_scores_gemma":[0.958168,0.00003716379,0.04164596,0.00001089401,0.00007012333,0.00001604421,0.000007593768,0.0000433062,8.707176e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.357693,"threshold_uncertainty_score":0.8098086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910061450893653,"score_gpt":0.2073674145478197,"score_spread":0.1882668000388832,"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."}}