{"id":"W6977124603","doi":"10.6073/pasta/e3d4257c4b450214d55c0f4f2e6f5c16","title":"Wyoming Motus Prioritization Tool Data","year":2025,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"Reformation and Early Modern Christianity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flyway; Biological dispersal; Abundance (ecology); Generalized additive model; Network analysis; Sample (material)","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":[0.0005328686,0.0005421565,0.0003342518,0.002282196,0.0006918088,0.0007660026,0.0007415186,0.0003223879,0.05040507],"category_scores_gemma":[0.002310216,0.0003176072,0.0002560365,0.002625028,0.0001542507,0.0007281361,0.0006824275,0.0004645559,0.01081062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195239,"about_ca_system_score_gemma":0.001734514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1893645,"about_ca_topic_score_gemma":0.3870012,"domain_scores_codex":[0.9994537,0.00008385206,0.00006258167,0.0001527398,0.0001719256,0.00007518227],"domain_scores_gemma":[0.9989077,0.0002031973,0.0001966629,0.0001644048,0.0004430045,0.00008502929],"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":[0.0002776678,0.00008515319,0.06971099,0.0004576562,0.00006716479,0.0001054637,0.0002548326,0.001522327,0.001129472,0.003825238,0.879619,0.04294506],"study_design_scores_gemma":[0.0001198167,0.00004079442,0.1580074,0.0002460125,0.00005069662,0.0001102548,0.0006076372,0.007940691,0.002187569,0.002111875,0.8285225,0.00005479923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0151053,0.00008573406,0.001865406,0.0002119352,0.00002466218,0.0002243371,0.9571272,0.001196814,0.02415873],"genre_scores_gemma":[0.04734886,0.0001318966,0.009989314,0.0002891922,0.0000139487,0.0008338221,0.9247716,0.0003086175,0.01631272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1893645,"threshold_uncertainty_score":0.3765245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08756402125883334,"score_gpt":0.273681735523499,"score_spread":0.1861177142646657,"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."}}