{"id":"W6887059592","doi":"10.15468/dl.osdl6g","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Listing (finance); Range (aeronautics); Danaus","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001050817,0.00203353,0.001700779,0.005327167,0.001103439,0.002963905,0.003123158,0.002002262,0.2086792],"category_scores_gemma":[0.006925997,0.00103068,0.001234092,0.009666819,0.0004873477,0.002637983,0.003102527,0.00205443,0.2779477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784327,"about_ca_system_score_gemma":0.002483572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0246183,"about_ca_topic_score_gemma":0.03834494,"domain_scores_codex":[0.9990343,0.000117412,0.0001144959,0.000342063,0.0002188207,0.0001730382],"domain_scores_gemma":[0.9975478,0.0006742311,0.0002159218,0.0006516519,0.0006329117,0.0002774729],"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":[0.00002373812,0.000008647622,0.0003143467,0.0004853666,0.00001217444,0.00001315815,0.00002408129,0.00009008004,0.00008062665,0.0003711246,0.9972095,0.001367163],"study_design_scores_gemma":[0.0000609824,0.00000574257,0.001384838,0.0001996994,0.00001267138,0.00003148886,0.00006941301,0.0001271111,0.0001606161,0.0008312872,0.9970998,0.00001632948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002797394,0.00002182016,0.00004711933,0.00003366863,0.00001128358,0.000005667976,0.9985996,0.0005029811,0.0007499066],"genre_scores_gemma":[0.0001591862,0.00003690428,0.0002509132,0.00005236189,0.000003663334,0.00005454613,0.9985989,0.0002737023,0.0005698668],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7913209,"threshold_uncertainty_score":0.6981013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}