{"id":"W6901836282","doi":"10.6073/pasta/cfaca902cb74fc7e1175b3a2739b6f56","title":"Kellogg Biological Station site, station Ottawa County, MI (FIPS 26139), study of human population density in units of numberPerKilometerSquared on a yearly timescale","year":2014,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Population density; Weather station; Human health","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":[0.0009708438,0.001439753,0.001123123,0.004229655,0.0008184134,0.001531094,0.002843049,0.00102035,0.03520807],"category_scores_gemma":[0.00441377,0.001010381,0.0006532005,0.00927684,0.0003667163,0.001113833,0.001312183,0.001317578,0.02820705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003472679,"about_ca_system_score_gemma":0.007900337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.478457,"about_ca_topic_score_gemma":0.6465357,"domain_scores_codex":[0.9994425,0.00005148193,0.00007423577,0.0001553028,0.0001583462,0.0001181317],"domain_scores_gemma":[0.9972304,0.0002988498,0.0004464847,0.0005056631,0.001097268,0.0004213385],"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":[0.0000670291,0.00002384055,0.005424632,0.0003964006,0.00004050254,0.00001914983,0.00004647094,0.0004637496,0.0000847902,0.0004013273,0.9908387,0.002193494],"study_design_scores_gemma":[0.0003221012,0.00002125687,0.0773679,0.0004074178,0.0000696782,0.00005724275,0.0002121923,0.001026527,0.0005504919,0.0008982317,0.9190072,0.00005968629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001849995,0.00001379849,0.00003751928,0.00001647895,0.000004786719,0.000006763683,0.999347,0.00005672313,0.0003318865],"genre_scores_gemma":[0.0007608371,0.00003312795,0.0002818267,0.00001847157,0.00000347055,0.00007544307,0.9975483,0.00003152445,0.001247113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.478457,"threshold_uncertainty_score":0.9513441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08488853828928641,"score_gpt":0.3127038613276046,"score_spread":0.2278153230383182,"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."}}