{"id":"W4291671610","doi":"","title":"Nonlinear Problems with p (center dot)-Growth Conditions and Applications to Antiplane Contact Models","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nonlinear system; Center (category theory); Materials science; Physics; Chemistry; Crystallography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00101413,0.0002821202,0.0003409772,0.0002174689,0.0001889563,0.0003086689,0.0004798032,0.000163564,0.00002647319],"category_scores_gemma":[0.00005350198,0.000279969,0.00008964043,0.000251618,0.00007265762,0.00007645892,0.0003691556,0.0004183213,0.00003131467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005595959,"about_ca_system_score_gemma":0.00004369072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004863183,"about_ca_topic_score_gemma":0.001436222,"domain_scores_codex":[0.998284,0.0004221356,0.0003143868,0.0004967903,0.0002204209,0.0002622698],"domain_scores_gemma":[0.9975153,0.0002706612,0.0001129656,0.001074975,0.000821012,0.0002050539],"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":[0.0000684021,0.002975168,0.03049177,0.0052581,0.003149482,0.00001920286,0.01795887,0.5640683,0.02269728,0.3247133,0.0040092,0.0245909],"study_design_scores_gemma":[0.0005908946,9.957315e-7,0.002658916,0.001329527,0.0001666278,0.0000175059,0.00004112047,0.9815956,0.002244822,0.003885358,0.006760485,0.0007081689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1274804,0.0002281944,0.8458144,0.001586081,0.00005503472,0.0008107387,0.0004316094,0.0004300126,0.02316346],"genre_scores_gemma":[0.9702085,0.0003268469,0.02696374,0.00004495709,0.00002375846,0.0002014746,0.00144325,0.00006304304,0.0007244439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.842728,"threshold_uncertainty_score":0.9999653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008920802443720606,"score_gpt":0.2021215769644984,"score_spread":0.1932007745207778,"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."}}