{"id":"W4390786546","doi":"","title":"TRIGONOMETRIC MELNIKOV PRODUCTS: EXTENSION, DERIVATION AND EVALUATION","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Material Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Extension (predicate logic); Trigonometry; Mathematics; Computer science; Mathematical analysis; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00154338,0.001440949,0.0008218685,0.002573694,0.0008897815,0.002929867,0.001100957,0.001035459,0.006362753],"category_scores_gemma":[0.004304911,0.0004370062,0.0007683731,0.001997069,0.00272834,0.004216377,0.001697551,0.002419478,0.002339823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107297,"about_ca_system_score_gemma":0.0007036699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006607317,"about_ca_topic_score_gemma":0.0007455976,"domain_scores_codex":[0.9993241,0.0002793246,0.00004953905,0.000108085,0.0001952304,0.00004372602],"domain_scores_gemma":[0.9989997,0.0003308704,0.0001367818,0.0001508306,0.0002855487,0.00009619422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002835346,0.00002236697,0.0001022316,0.0001016061,0.00001033987,0.00008246367,0.000192686,0.001601649,0.001496389,0.9729068,0.002453158,0.0210019],"study_design_scores_gemma":[0.000006518815,0.00002300462,0.0001679221,0.00003508461,0.0000103403,0.0002229411,0.00007304078,0.01939682,0.001559837,0.9657565,0.01272829,0.0000197443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07233988,0.009677984,0.7907055,0.002095085,0.001983793,0.00007622465,0.0004809893,0.0005578146,0.1220827],"genre_scores_gemma":[0.7227861,0.008748581,0.1964228,0.0006836655,0.002247392,0.000142964,0.0005904298,0.001377141,0.06700096],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006362753,"threshold_uncertainty_score":0.02128559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243867135659803,"score_gpt":0.3168810212143151,"score_spread":0.1924943076483348,"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."}}