{"id":"W4390854746","doi":"","title":"An Extended Prudnikov Finite Sum","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Mathematics; Computer science","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":[0.0006178943,0.0003807009,0.0006196955,0.001604832,0.00104711,0.002397923,0.0007422733,0.0004809136,0.005679554],"category_scores_gemma":[0.002032562,0.0001930421,0.0005956892,0.0009074052,0.002111673,0.003760084,0.001830239,0.001072288,0.0009611603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034782,"about_ca_system_score_gemma":0.0005024461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003639596,"about_ca_topic_score_gemma":0.000361267,"domain_scores_codex":[0.9995183,0.00008644649,0.00003378588,0.0001059451,0.0001812892,0.0000743272],"domain_scores_gemma":[0.999391,0.0001850249,0.0000651844,0.0001106702,0.0001499007,0.00009824208],"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":[0.000006811169,0.000004393526,0.00008528927,0.00001780415,0.000002721099,0.00005634627,0.00005043348,0.0003636858,0.0005036047,0.9952024,0.0003524626,0.003353993],"study_design_scores_gemma":[0.00000277532,0.00001059022,0.0001034333,0.000008980174,0.000004407668,0.0001368692,0.00001982958,0.004438157,0.0005823054,0.9898107,0.004875646,0.000006316023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.3694367,0.00268342,0.2739352,0.00189645,0.0008556379,0.00004921607,0.0003085622,0.0004708972,0.350364],"genre_scores_gemma":[0.9445705,0.0008249984,0.02402796,0.0004592867,0.0005037768,0.00003688658,0.0001414911,0.0001136036,0.02932148],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005679554,"threshold_uncertainty_score":0.01899999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696220616758504,"score_gpt":0.2583358679064205,"score_spread":0.2313736617388355,"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."}}