{"id":"W6893407393","doi":"10.5281/zenodo.16510105","title":"Conservation/Legislative Update: Pandas Slated for Canadian Visit","year":2011,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PANDAS; Biodiversity; MEDLINE; Public health; Epidemiology","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":[0.001895464,0.0006101673,0.0005714162,0.002741667,0.007828756,0.004013195,0.002490652,0.003866242,0.2332761],"category_scores_gemma":[0.004061169,0.0007387397,0.0009513366,0.003214238,0.0009788866,0.001543495,0.001806968,0.004559324,0.0498351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01515105,"about_ca_system_score_gemma":0.0494233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9173498,"about_ca_topic_score_gemma":0.9600264,"domain_scores_codex":[0.9976956,0.00008296276,0.0001001736,0.0002062596,0.001339226,0.0005757982],"domain_scores_gemma":[0.994668,0.0002306507,0.0001000713,0.0003163928,0.004140173,0.0005448404],"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":[0.00001721757,0.00002047347,0.0003623414,0.00007337224,0.000004086349,0.00005396319,0.0001293066,0.000031926,0.000223086,0.002187248,0.9829385,0.01395849],"study_design_scores_gemma":[0.000004777354,0.000004469905,0.002351548,0.00003939498,0.000005209139,0.00002599636,0.0001229027,0.00002555418,0.0001220399,0.0001479597,0.9971397,0.00001045788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005002073,0.001952106,0.001242578,0.03647386,0.006758969,0.000948521,0.04818676,0.003854852,0.8955802],"genre_scores_gemma":[0.008324618,0.001065513,0.002119679,0.01055477,0.0003316847,0.0002165414,0.01246537,0.0005894993,0.9643323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2332761,"threshold_uncertainty_score":0.7803862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06671047926068302,"score_gpt":0.2383264851591939,"score_spread":0.1716160058985109,"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."}}