{"id":"W6906015389","doi":"10.15468/dl.w6uoku","title":"Occurrence Download","year":2015,"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); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009740925,0.001946599,0.001613189,0.005227942,0.0009417286,0.002634555,0.002930438,0.001964457,0.1336753],"category_scores_gemma":[0.00566649,0.0008521731,0.001193378,0.0105469,0.0004118828,0.002296089,0.002523376,0.001959082,0.1953406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569532,"about_ca_system_score_gemma":0.002422014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02108801,"about_ca_topic_score_gemma":0.03533956,"domain_scores_codex":[0.9989086,0.0001449348,0.0001398458,0.0003734056,0.0002589178,0.0001743645],"domain_scores_gemma":[0.9977761,0.0005667273,0.0002264197,0.0006246075,0.000542164,0.0002639655],"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":[0.0000272249,0.00001076258,0.000392663,0.0004631692,0.0000170713,0.00001372559,0.00002137865,0.0001332566,0.0001073174,0.0004137257,0.9969479,0.001451725],"study_design_scores_gemma":[0.00006323698,0.000007586054,0.001962862,0.0001749761,0.0000153992,0.00003765067,0.00006310999,0.0001586906,0.0001915304,0.0008073276,0.9965013,0.00001641032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004980687,0.00003625089,0.00004973045,0.0000367477,0.00001233145,0.000004978851,0.9987273,0.0003976363,0.0006851773],"genre_scores_gemma":[0.0001507688,0.00003348574,0.000161654,0.00003641723,0.000002951288,0.00002952106,0.9990448,0.0001114954,0.0004288513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8663247,"threshold_uncertainty_score":0.4471884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}