{"id":"W7094450833","doi":"","title":"Urban Ecology & Conservation Symposium 2005: 3rd Annual -- Sharing More Data, Making More Connections (Abstracts)","year":2005,"lang":"","type":"article","venue":"PDXScholar  (Portland State University)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Urban ecology; Government (linguistics); Urban ecosystem; State (computer science); Principal (computer security); Local government; Natural resource","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008861082,0.0005849038,0.0007293396,0.0008374263,0.001053888,0.000202585,0.001014721,0.0004769281,0.0003880101],"category_scores_gemma":[0.0007447653,0.0006908963,0.0001662872,0.0006924445,0.0003628412,0.002683999,0.001008525,0.001540834,0.0001890488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005936121,"about_ca_system_score_gemma":0.0006835957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030236,"about_ca_topic_score_gemma":0.00269561,"domain_scores_codex":[0.995919,0.0001561069,0.0008147726,0.001353368,0.0005572831,0.001199456],"domain_scores_gemma":[0.9962373,0.0005129011,0.0006325066,0.001389466,0.0004747577,0.0007530813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001733551,0.001166875,0.9028155,0.0003154986,0.00120765,0.005720187,0.004930459,0.0126944,0.0002950364,0.001171994,0.06308649,0.004862377],"study_design_scores_gemma":[0.00491001,0.0003382782,0.244333,0.0004701115,0.001389127,0.0002675424,0.005168858,0.03020641,0.0001464278,0.00001637416,0.7118675,0.000886413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633486,0.0009232087,0.001833033,0.01174077,0.00108346,0.001032043,0.004558012,0.0003799267,0.01510091],"genre_scores_gemma":[0.9757114,0.00165255,0.0009486449,0.001214546,0.0007770052,0.000001675198,0.002839192,0.00007251267,0.01678245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6584824,"threshold_uncertainty_score":0.9995542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455785214530576,"score_gpt":0.2628138584534532,"score_spread":0.2382560063081475,"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."}}