{"id":"W7093964433","doi":"","title":"Urban Ecology & Conservation Symposium 2004: 2nd annual -- Sharing Data, Making Connections (Abstracts)","year":2004,"lang":"","type":"article","venue":"PDXScholar  (Portland State University)","topic":"Urban Planning and Landscape Design","field":"Environmental Science","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; State 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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009879955,0.0004901247,0.00045773,0.0004489122,0.001433357,0.0003095494,0.001294793,0.0003285757,0.00122832],"category_scores_gemma":[0.000101648,0.0005830775,0.0001167978,0.000887168,0.000342146,0.002756611,0.0007543558,0.0009760026,0.0008252122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007469943,"about_ca_system_score_gemma":0.0002277604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899652,"about_ca_topic_score_gemma":0.006497375,"domain_scores_codex":[0.9963772,0.0001585028,0.0005921996,0.001445706,0.0004737265,0.0009526166],"domain_scores_gemma":[0.9976605,0.0001422583,0.0005295182,0.001164172,0.00008533396,0.0004182133],"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":[0.0004596696,0.0006630656,0.8427971,0.00007450299,0.0003894762,0.00186514,0.005753885,0.05327624,0.001475095,0.0004072434,0.09239417,0.0004444237],"study_design_scores_gemma":[0.002636819,0.0002246468,0.2288551,0.0001303064,0.0003393153,0.0001346546,0.001468752,0.001255063,0.00008506984,0.00008990312,0.7638978,0.0008824824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655096,0.0002067454,0.004023698,0.001466556,0.0010769,0.0006945023,0.002888428,0.0002303688,0.0239032],"genre_scores_gemma":[0.9727392,0.000297922,0.0007194779,0.0003081311,0.0001313023,9.707302e-7,0.0009206159,0.00004673514,0.02483569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6715037,"threshold_uncertainty_score":0.9999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585601186892328,"score_gpt":0.2239096653253443,"score_spread":0.198053653456421,"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."}}