{"id":"W64299989","doi":"10.1007/978-3-642-11004-7_11","title":"Difference and Mean Value Type Functional Equations","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Functional Equations Stability Results","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Physics; Noisy text analytics; Combinatorics; Text graph; Type (biology); Text mining; Computer science; Mathematics; Natural language processing; Biology","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":[0.0002878077,0.0006406158,0.0005445451,0.0008765875,0.0004882749,0.001180828,0.000578664,0.0007165624,0.0109813],"category_scores_gemma":[0.0006608772,0.0002519092,0.0004688187,0.0009318388,0.001133126,0.002647398,0.0005890232,0.002032344,0.002856307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129066,"about_ca_system_score_gemma":0.0005078618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001166456,"about_ca_topic_score_gemma":0.001491975,"domain_scores_codex":[0.9998703,0.00002740974,0.000005340557,0.00002034407,0.00006692209,0.000009726651],"domain_scores_gemma":[0.9998709,0.00005683183,0.000006967808,0.00001416807,0.00004440684,0.000006720363],"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":[0.000002214828,0.000007098312,0.00002077659,0.00003236562,0.00000249196,0.00001233752,0.00004327097,0.0006009696,0.0002954892,0.973131,0.01149447,0.01435758],"study_design_scores_gemma":[0.000002197203,0.000004141437,0.00008889516,0.00002284386,0.000002910399,0.00006610256,0.00002059638,0.003480295,0.0002957534,0.9240965,0.07191302,0.00000669864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009590836,0.01699706,0.1828214,0.004360787,0.002796587,0.00002893011,0.0002982152,0.0002022775,0.7829039],"genre_scores_gemma":[0.1511688,0.01641213,0.05023353,0.001306445,0.002618386,0.00009994629,0.0004327237,0.0005173064,0.7772107],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0109813,"threshold_uncertainty_score":0.03673607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127736370453692,"score_gpt":0.2899492360600494,"score_spread":0.1771755990146801,"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."}}