{"id":"W7084603294","doi":"10.5281/zenodo.17266422","title":"A Thermal Modeling Toolkit for Continuous-Wave Gaussian Second-Harmonic Generation in KTP Crystal","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pharmacological Effects of Natural Compounds","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Solver; Gaussian; Boundary (topology); Crystal (programming language); Fortran; Benchmark (surveying); Thermal; Suite; Work (physics); Parameterized complexity","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001190368,0.0004032624,0.0004790489,0.0005942064,0.001003009,0.0003258416,0.0009811983,0.0006874623,0.08439191],"category_scores_gemma":[0.0004707183,0.000412935,0.0001590907,0.0004250129,0.0001644367,0.0001531748,0.0007962863,0.001498553,0.001677747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003436413,"about_ca_system_score_gemma":0.0000256214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001909283,"about_ca_topic_score_gemma":0.000007448926,"domain_scores_codex":[0.9966674,0.001135331,0.0004655942,0.000759076,0.0002489484,0.00072358],"domain_scores_gemma":[0.9987919,0.0001304171,0.0002268333,0.0003253842,0.0002941566,0.0002312821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004381355,0.0002927551,7.41959e-7,0.0002684147,0.0002416993,0.00005204992,0.0001728801,0.0009177642,0.05841903,0.001250548,0.9032838,0.03466219],"study_design_scores_gemma":[0.002324139,0.00027634,0.000005968578,0.00006027829,0.00009026887,0.00002054633,0.00003849614,0.06300447,0.001564198,0.0001373388,0.9320742,0.0004037464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01935979,0.001855124,0.004326995,0.001460636,0.001360054,0.00440748,0.00260415,0.001852897,0.9627728],"genre_scores_gemma":[0.7280679,0.0004359939,0.0006714666,0.002750831,0.002083135,0.000003937361,0.012024,0.006167301,0.2477954],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7149774,"threshold_uncertainty_score":0.9998323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1409777029212232,"score_gpt":0.3717525520864253,"score_spread":0.2307748491652021,"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."}}