{"id":"W6920143955","doi":"10.60566/h5ysx-ah148","title":"GHS-POP2G - Population to Grid","year":2022,"lang":"en","type":"other","venue":"GEO Knowledge Hub","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geoscience BC","funders":"","keywords":"Population; Geospatial analysis; Urbanization; Grid; Climate change; Human settlement; Hazard; Sustainable development; Population growth","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":[0.002187032,0.001411596,0.0008641713,0.002327452,0.0008938939,0.005007791,0.002445119,0.001340507,0.1900731],"category_scores_gemma":[0.01243636,0.0009816417,0.001565408,0.003869099,0.0006514752,0.004812385,0.00535275,0.00186018,0.1751616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541878,"about_ca_system_score_gemma":0.001914221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01488792,"about_ca_topic_score_gemma":0.01100539,"domain_scores_codex":[0.9985831,0.0002700067,0.0001036854,0.0002296168,0.0006058164,0.0002077929],"domain_scores_gemma":[0.997368,0.0005993534,0.0001185772,0.0007298128,0.0009115163,0.0002727199],"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":[0.00006499622,0.00001562771,0.001242224,0.000234722,0.00001674238,0.00007221125,0.0002594704,0.001843346,0.0001961357,0.01015354,0.9501609,0.03574003],"study_design_scores_gemma":[0.00005519565,0.000009701093,0.0008903961,0.0001269204,0.000005474097,0.00005625429,0.0001782035,0.002487385,0.000815747,0.01519106,0.9801451,0.00003866474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00264167,0.0003727294,0.09140955,0.004736457,0.00141805,0.0007249205,0.4412618,0.296148,0.1612868],"genre_scores_gemma":[0.0278392,0.001010731,0.1378414,0.003875408,0.0003029326,0.001802818,0.5976344,0.1650398,0.06465343],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1900731,"threshold_uncertainty_score":0.6358579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618914692303787,"score_gpt":0.2907379088108082,"score_spread":0.2745487618877703,"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."}}