{"id":"W4385650229","doi":"10.1002/msd2.12080","title":"Letter of thanks for <i>IJMSD</i>'s indexing in ESCI","year":2023,"lang":"en","type":"article","venue":"International journal of mechanical system dynamics","topic":"Mechanics and Biomechanics Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Gratitude; Editorial board; Scopus; Computer science; Citation; Library science; Publication; Engineering ethics; Data science; Engineering; Political science; Psychology; MEDLINE","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":[0.0009435954,0.0001323718,0.0003558408,0.0004253562,0.00001852593,0.00002608655,0.0004892314,0.0001188508,0.000004118036],"category_scores_gemma":[0.00008637594,0.0001160872,0.0001931082,0.0002587098,0.000008140573,0.0000924353,0.00009508589,0.0001877766,0.000004815044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000317858,"about_ca_system_score_gemma":0.00002308164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007577017,"about_ca_topic_score_gemma":0.00004991753,"domain_scores_codex":[0.9983119,0.00002437175,0.0008307837,0.0001089688,0.0005132505,0.0002106842],"domain_scores_gemma":[0.999121,0.0001685687,0.0002392751,0.00009760482,0.0003194378,0.00005412353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004417599,0.0002067825,0.0003918393,0.001263688,0.001685636,0.0004208686,0.0004791915,0.03450458,0.09059175,0.8377256,0.005024282,0.02726398],"study_design_scores_gemma":[0.001054381,0.0001261446,0.00003829314,0.0005688457,0.00002392812,0.00006685688,0.0003142816,0.9837672,0.005207124,0.007242761,0.00142546,0.0001647383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2446301,0.000265939,0.7366123,0.001939704,0.01465059,0.0005480988,0.0002970327,0.0001969376,0.0008593184],"genre_scores_gemma":[0.9980149,0.00009516972,0.001424309,0.00005293204,0.0003342477,0.00001100619,0.00001080685,0.00002805457,0.00002851995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9492626,"threshold_uncertainty_score":0.4733899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284069626271354,"score_gpt":0.2420002978322092,"score_spread":0.2291596015694956,"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."}}