{"id":"W4403481080","doi":"10.1130/abs/2023cd-387590","title":"DIFFICULTY IS IN THE DETAILS: A CANADIAN CASE STUDY IN COUPLING CLASSICAL METHODS, KINEMATIC THEORY, AND OPTIMIZATION TECHNIQUES TO CONSTRUCT REGIONAL 3D KINEMATIC MODELS IN EXHUMED FOLD AND THRUST BELTS","year":2023,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Kinematics; Thrust; Construct (python library); Fold (higher-order function); Coupling (piping); Geology; Computer science; Aerospace engineering; Physics; Classical mechanics; Engineering; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00160502,0.000779879,0.0005411184,0.0009734366,0.003470433,0.002340397,0.001633022,0.001685383,0.001981238],"category_scores_gemma":[0.004584697,0.0004341897,0.0007389656,0.002840244,0.002596737,0.001257413,0.0009440468,0.001141981,0.0001639464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01754836,"about_ca_system_score_gemma":0.01363598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9367017,"about_ca_topic_score_gemma":0.9628735,"domain_scores_codex":[0.9994743,0.0001879125,0.00002788312,0.00006898637,0.0001494214,0.00009150425],"domain_scores_gemma":[0.9990415,0.0005817206,0.00005131542,0.00007166991,0.0001967525,0.00005703897],"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":[0.0001195052,0.0001570586,0.009695549,0.00008124892,0.00003929383,0.001317565,0.001047621,0.9250946,0.0007620153,0.03573589,0.002392321,0.02355733],"study_design_scores_gemma":[0.0001200355,0.00009531775,0.01053581,0.00005290983,0.00005189285,0.0003051204,0.004256319,0.9581832,0.002019566,0.0127748,0.01150728,0.00009786565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8423374,0.0006161448,0.1073034,0.003457434,0.00006299555,0.000319554,0.001085572,0.0003512565,0.0444663],"genre_scores_gemma":[0.9141018,0.0003891219,0.07852847,0.00008008447,0.000007386524,0.00007373057,0.0002638022,0.0000978541,0.006457721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06329829,"threshold_uncertainty_score":0.127342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03008096071760967,"score_gpt":0.2850037044919741,"score_spread":0.2549227437743644,"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."}}