{"id":"W6968898649","doi":"10.5281/zenodo.7569219","title":"maprdhm/synpopCanada: v2.0.0","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Population growth; Population projection; Projections of population growth","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":[0.001036528,0.002389499,0.001165101,0.001954125,0.001053887,0.002552477,0.005483964,0.001479887,0.1963633],"category_scores_gemma":[0.005832632,0.001845257,0.001708463,0.002601392,0.000590036,0.001692822,0.00249891,0.002087213,0.161585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946467,"about_ca_system_score_gemma":0.003994867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1143625,"about_ca_topic_score_gemma":0.1340844,"domain_scores_codex":[0.9994721,0.0000640541,0.00002560419,0.0001399963,0.0001834207,0.0001149179],"domain_scores_gemma":[0.9990594,0.0002173568,0.00003969324,0.0002169552,0.0003897177,0.00007693084],"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":[0.00008039337,0.00003347186,0.001312759,0.0004767192,0.00009622,0.00006615741,0.0001339637,0.01042147,0.0005062114,0.003055513,0.967911,0.01590616],"study_design_scores_gemma":[0.0003294483,0.00002026899,0.001307258,0.0001690366,0.00005820256,0.0001088158,0.0001093147,0.04373716,0.004436161,0.01020277,0.9394068,0.0001148455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002562291,0.0003728951,0.04831917,0.0004216487,0.0003378357,0.0002703087,0.4943492,0.4193344,0.03403226],"genre_scores_gemma":[0.02048607,0.0005056686,0.06870987,0.0006427338,0.00007080999,0.001244548,0.6450517,0.2413263,0.0219624],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.8856375,"threshold_uncertainty_score":0.6569008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04036028150047777,"score_gpt":0.2462579766516361,"score_spread":0.2058976951511583,"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."}}