{"id":"W7071112099","doi":"","title":"Salish Sea Population Density","year":2021,"lang":"en","type":"article","venue":"Western CEDAR (Western Washington University)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population density; Census; Population; Square (algebra); Distance sampling","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":[0.00009630268,0.0003285514,0.0001782047,0.0022465,0.0003435832,0.0004087829,0.0002898282,0.0001299474,0.01295377],"category_scores_gemma":[0.000473937,0.0001126827,0.00027431,0.003382362,0.0001437373,0.000278457,0.000496319,0.0001970878,0.002094663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244143,"about_ca_system_score_gemma":0.001315762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5655652,"about_ca_topic_score_gemma":0.5636619,"domain_scores_codex":[0.9998405,0.00001365556,0.00002336123,0.00003426537,0.00005068722,0.00003753386],"domain_scores_gemma":[0.9997697,0.00001161623,0.00004784848,0.0000136233,0.0001231768,0.00003398697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002517007,0.00005001732,0.572883,0.0008527358,0.0002638717,0.0005228482,0.001904988,0.0008921378,0.001796918,0.002964666,0.3286461,0.08897111],"study_design_scores_gemma":[0.00001935186,0.00001854111,0.9447131,0.00007436736,0.00002592815,0.0001168286,0.00110743,0.0001661131,0.0001288574,0.0001661198,0.05344923,0.00001426325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5277603,0.002517781,0.0007311878,0.0008688504,0.0002740889,0.0001519966,0.3605699,0.0005544243,0.1065715],"genre_scores_gemma":[0.7035166,0.002666102,0.001717583,0.0003836627,0.0001082379,0.0002408566,0.2566896,0.00005752287,0.03461979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4344348,"threshold_uncertainty_score":0.8739865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032862764020361,"score_gpt":0.2421802815942636,"score_spread":0.22185165395406,"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."}}