{"id":"W6905940183","doi":"10.15468/dl.vby5sj","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); Data collection; Range (aeronautics)","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":[0.0009745456,0.002156466,0.001669715,0.005488527,0.001034305,0.002585719,0.003016519,0.002127286,0.1421507],"category_scores_gemma":[0.005920395,0.0009471379,0.001236997,0.01058062,0.0004651991,0.002427439,0.002743798,0.002011894,0.2125723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812309,"about_ca_system_score_gemma":0.002487077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02677101,"about_ca_topic_score_gemma":0.04663977,"domain_scores_codex":[0.9988882,0.0001348048,0.0001413021,0.0003764359,0.0002731356,0.000186132],"domain_scores_gemma":[0.9975466,0.0006235189,0.0002390939,0.000667906,0.0006335197,0.0002893176],"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":[0.0000280701,0.00001185743,0.0003935235,0.0005044647,0.00001521207,0.00001583801,0.00002582008,0.0001309977,0.0001162339,0.0003770589,0.9968311,0.001549829],"study_design_scores_gemma":[0.00006837412,0.000008418309,0.002106095,0.0001973788,0.00001471528,0.00004352487,0.00008191463,0.0001728718,0.0001964713,0.0006682854,0.9964235,0.00001819713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005315,0.00003418312,0.00005283384,0.00003684266,0.00001327149,0.000005272042,0.9986435,0.0004898154,0.0006711461],"genre_scores_gemma":[0.0001504682,0.00003253266,0.0001965238,0.00003460927,0.000003092443,0.00003343201,0.9990061,0.0001363627,0.0004069269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8578493,"threshold_uncertainty_score":0.4755414,"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."}}