{"id":"W5157683","doi":"","title":"Analytical properties of the lambert w function","year":2012,"lang":"es","type":"article","venue":"","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Lambert W function; Rate of convergence; Mathematics; Normal convergence; Convergence (economics); Convergence tests; Function (biology); Applied mathematics; Function series; Series (stratigraphy); Transformation (genetics); Compact convergence; Modes of convergence (annotated index); Taylor series; Invariant (physics); Domain (mathematical analysis); Mathematical analysis; Pure mathematics; Computer science; Fourier series","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":[0.001394001,0.000576498,0.0005919596,0.002232252,0.0005928563,0.001644961,0.000840772,0.001018106,0.002654741],"category_scores_gemma":[0.006425646,0.0003013599,0.0006703965,0.0008032316,0.001954115,0.003563224,0.0008037447,0.001652555,0.0009108259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007267656,"about_ca_system_score_gemma":0.0005505481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005870247,"about_ca_topic_score_gemma":0.0001636431,"domain_scores_codex":[0.999526,0.0001134226,0.0000222257,0.0000976247,0.000176291,0.00006436306],"domain_scores_gemma":[0.9984866,0.0006588675,0.0002027516,0.0001673385,0.000408896,0.00007555826],"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":[0.00003598776,0.00003611084,0.0007459203,0.0001689189,0.00002006432,0.0002859341,0.00035933,0.02576556,0.01634841,0.9280002,0.001299138,0.02693449],"study_design_scores_gemma":[0.0000151343,0.0001036492,0.001063944,0.0001192845,0.00002496436,0.001000882,0.0002080626,0.4787532,0.01709349,0.4852219,0.01630829,0.00008718322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1445169,0.007241873,0.752755,0.001276982,0.0003606373,0.00009894947,0.0001072005,0.0004809691,0.09316143],"genre_scores_gemma":[0.8940735,0.006211191,0.06888099,0.000375112,0.0003541636,0.0001412633,0.0001612463,0.0002883859,0.02951412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002654741,"threshold_uncertainty_score":0.008880973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308021525069269,"score_gpt":0.186590966673677,"score_spread":0.1735107514229843,"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."}}