{"id":"W2344258168","doi":"10.48550/arxiv.1604.08884","title":"Analytical validation of a 2+1 dimensional continuum model for epitaxial growth with elastic substrate","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Fluid Dynamics and Thin Films","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Uniqueness; Epitaxy; Fourier transform; Geodetic datum; Lipschitz continuity; Substrate (aquarium); Physics; Mathematical analysis; Mathematical physics; Condensed matter physics; Mathematics; Materials science; Nanotechnology","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":[0.0001106116,0.0002351627,0.0003245579,0.0001490285,0.00003512921,0.00001649946,0.0002358915,0.0002368507,0.00001070991],"category_scores_gemma":[0.00002094302,0.0002152059,0.0001456958,0.0001086589,0.00009031723,0.00009574432,0.0001101024,0.0002196516,0.000006125466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000912663,"about_ca_system_score_gemma":0.00008922183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008990564,"about_ca_topic_score_gemma":0.00002392292,"domain_scores_codex":[0.9991058,0.00001331593,0.0001905262,0.0003837429,0.00007732413,0.0002292591],"domain_scores_gemma":[0.9991888,0.0001164618,0.00008826931,0.000281853,0.0002305553,0.00009406522],"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":[0.0001206267,0.00002165212,0.001238424,0.000176792,0.0001694153,0.00001814301,0.00002086473,0.8813178,0.0002469777,0.1165666,0.00009913254,0.000003617473],"study_design_scores_gemma":[0.0007074405,0.00004312772,0.0003492119,0.0001302048,0.0001761742,0.000001229326,0.000004191113,0.9429398,0.0004230898,0.05496431,0.000002057935,0.0002592247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.556309,0.000005587329,0.4426952,0.000007169647,0.0001333124,0.0001575319,0.0001445274,0.00005729766,0.0004902738],"genre_scores_gemma":[0.9985297,0.00001894565,0.0006338786,0.000003396545,0.00004586664,0.000001705824,0.00007254455,0.00003768093,0.0006562867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4422206,"threshold_uncertainty_score":0.8775842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03419832649679676,"score_gpt":0.1632078732634524,"score_spread":0.1290095467666557,"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."}}