{"id":"W6957991570","doi":"10.60692/70fmk-kzn12","title":"QGIS Data for Canadian Population, PM2.5, Nighttime lights.","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geographic information system; Statistical analysis; Satellite; Earth observation satellite","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":[0.0006429747,0.0009810517,0.0006562693,0.004201799,0.001675956,0.002078159,0.001690946,0.000534215,0.05276588],"category_scores_gemma":[0.004525477,0.0004823979,0.001053756,0.01213036,0.0003737867,0.0007618219,0.001299024,0.001078119,0.01650056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01147707,"about_ca_system_score_gemma":0.04111496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876587,"about_ca_topic_score_gemma":0.9914933,"domain_scores_codex":[0.9989662,0.00005027545,0.00006880967,0.0001518747,0.0005328802,0.0002298918],"domain_scores_gemma":[0.9965097,0.0001064555,0.00008862032,0.000168163,0.002966012,0.0001610423],"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":[0.00003109662,0.00001050448,0.004670921,0.0002350471,0.00004690597,0.00002724412,0.0001461548,0.0006105758,0.000127083,0.001527322,0.9829586,0.009608532],"study_design_scores_gemma":[0.00006397937,0.000004198293,0.03452978,0.0002240846,0.00005154162,0.00004889887,0.0007384996,0.00150733,0.000545337,0.001081717,0.9611408,0.00006382568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008538502,0.00008319385,0.0005950087,0.0001751633,0.00006001762,0.00004086041,0.9902617,0.0004458687,0.007484316],"genre_scores_gemma":[0.0103769,0.0002852399,0.004953429,0.0001508076,0.00002017067,0.0002068457,0.9737491,0.0004077839,0.009849763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05276588,"threshold_uncertainty_score":0.1765195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0619098695298998,"score_gpt":0.2424007084655368,"score_spread":0.180490838935637,"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."}}