{"id":"W6949149078","doi":"10.5281/zenodo.10791599","title":"Toronto Google Ads Experts – Eunorial Consulting","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Track (disk drive); The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00072445,0.0003620081,0.0003424488,0.0002596531,0.0007094312,0.002253998,0.003318752,0.0002304742,0.02969377],"category_scores_gemma":[0.000506244,0.0003724055,0.0001237422,0.0005507506,0.0001732557,0.0003062787,0.005466551,0.0003570546,0.02148377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709589,"about_ca_system_score_gemma":0.00001357895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002763967,"about_ca_topic_score_gemma":0.00000973713,"domain_scores_codex":[0.9967037,0.0004318129,0.0003773608,0.001214068,0.0006828926,0.0005901348],"domain_scores_gemma":[0.9978338,0.00004220497,0.00018023,0.001355978,0.0003268339,0.000260981],"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":[0.000005895965,0.00008091576,1.485694e-7,0.0001254006,0.00005452413,0.00004070761,0.001037933,0.0000032989,0.0001192291,0.007674982,0.8807008,0.1101562],"study_design_scores_gemma":[0.0003186449,0.000142264,0.000004220222,0.0001251565,0.00001333304,0.0001079246,0.0001144317,0.002278151,0.00003275188,0.0005206052,0.9959441,0.0003984282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001080996,0.001734183,0.05346675,0.0003709923,0.002154452,0.0006568877,0.0001593871,0.005804487,0.9356421],"genre_scores_gemma":[0.006931657,0.0006629295,0.03763063,0.0005981846,0.00873327,6.589609e-7,0.001927273,0.03453255,0.9089829],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1152433,"threshold_uncertainty_score":0.9998728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311895895773497,"score_gpt":0.2605417160881839,"score_spread":0.2293521265108342,"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."}}