{"id":"W6930886275","doi":"10.5281/zenodo.16613778","title":"Replication package for: \"Are Cities Losing Innovation Advantages? Online versus Face-to-face Interactions\"","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Key (lock); The Internet; Context (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008625221,0.0003000835,0.000385079,0.0006684906,0.00133625,0.0007264116,0.001125377,0.0001694753,0.002527301],"category_scores_gemma":[0.02452803,0.0003241248,0.00007055017,0.001135141,0.0001051479,0.0002088176,0.001032058,0.0005690826,0.0004565268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003746927,"about_ca_system_score_gemma":0.00001548812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001233326,"about_ca_topic_score_gemma":0.000002881981,"domain_scores_codex":[0.99742,0.0003968,0.0006528379,0.000761048,0.0003923332,0.0003770436],"domain_scores_gemma":[0.9958743,0.0007335656,0.0004855999,0.00142727,0.00136268,0.0001165977],"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":[0.0001987436,0.0001474263,1.286129e-7,0.0005810725,0.00006477749,0.000003169002,0.0001255678,0.0000019266,0.0002206609,0.02101398,0.9157147,0.06192784],"study_design_scores_gemma":[0.0005183707,0.0002446356,0.00001950518,0.0004125576,0.00009199318,0.00001161675,0.0005607156,0.0001161914,0.0002323608,0.00875379,0.988727,0.0003112954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004844215,0.00001250389,0.3743403,0.0005659021,0.0003053102,0.0007665653,0.6224601,0.0002773545,0.001223496],"genre_scores_gemma":[0.0001594164,0.00007550101,0.0463827,0.000207997,0.0002658782,8.706627e-7,0.9515341,0.0005302411,0.0008433152],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3290739,"threshold_uncertainty_score":0.9999639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1299414086527073,"score_gpt":0.4088848476892223,"score_spread":0.278943439036515,"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."}}