{"id":"W6885454962","doi":"10.1371/journal.pgph.0002926.s010","title":"Area-level difference-in-differences analysis of the second restriction with mixed-effect modeling in Greater Toronto Area (Model 1).","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Work (physics); Term (time); Metropolitan area","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009984362,0.00203313,0.003177568,0.001188587,0.0017139,0.0018056,0.004332896,0.00267928,0.1065428],"category_scores_gemma":[0.02378725,0.001411706,0.006597684,0.0023717,0.001035592,0.001497783,0.002711529,0.004470655,0.007593261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004743054,"about_ca_system_score_gemma":0.01385928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7169636,"about_ca_topic_score_gemma":0.6418437,"domain_scores_codex":[0.9870749,0.007957105,0.0005157767,0.002237903,0.0007582834,0.001456121],"domain_scores_gemma":[0.9846424,0.009329054,0.001300971,0.002159021,0.001698782,0.0008696215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008239104,0.0006294301,0.3822635,0.002603751,0.02593011,0.002623879,0.002947797,0.05748248,0.002593778,0.04774554,0.4022355,0.0647051],"study_design_scores_gemma":[0.003451021,0.002229312,0.4272955,0.001429764,0.01918631,0.0009725718,0.004580226,0.2429632,0.003480671,0.02290621,0.2707995,0.0007057113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.3228775,0.00488855,0.1911934,0.007112557,0.003678936,0.003251139,0.4391737,0.004797203,0.02302704],"genre_scores_gemma":[0.7981313,0.0007924821,0.05287071,0.0008709031,0.00038889,0.004705764,0.07952037,0.001078947,0.06164066],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2830364,"threshold_uncertainty_score":0.5694064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341512703307344,"score_gpt":0.2387520085996061,"score_spread":0.1046007382688718,"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."}}