{"id":"W6887210400","doi":"10.15468/dl.uutfcp","title":"Occurrence Download","year":2017,"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; Confidentiality","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":[0.0009304716,0.002063034,0.001632725,0.005072456,0.001021376,0.002721146,0.003028552,0.002206088,0.1592699],"category_scores_gemma":[0.006477109,0.0009033275,0.001244509,0.01019304,0.0004623248,0.002498406,0.002840761,0.002046581,0.2359842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677195,"about_ca_system_score_gemma":0.002500967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283719,"about_ca_topic_score_gemma":0.03682224,"domain_scores_codex":[0.9989464,0.0001339001,0.0001320998,0.0003565516,0.0002501598,0.000180946],"domain_scores_gemma":[0.9975495,0.0006590427,0.0002230244,0.0006276048,0.0006669885,0.000273851],"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":[0.00002482443,0.00001067125,0.0003976499,0.000531529,0.00001462474,0.00001451764,0.00002307072,0.0001246365,0.0000981391,0.0003512928,0.9969038,0.001505189],"study_design_scores_gemma":[0.0000679784,0.000008032114,0.001784722,0.0002263409,0.00001517479,0.00003885294,0.0000820475,0.0001701428,0.0001883733,0.0007834193,0.996617,0.0000179123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004139552,0.00003287936,0.00004526477,0.00003810422,0.00001283785,0.000004922841,0.9988388,0.0003983093,0.0005874306],"genre_scores_gemma":[0.0001523573,0.00003695223,0.0001819316,0.0000411357,0.000003544528,0.00003650989,0.9989921,0.000140327,0.0004150161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8407301,"threshold_uncertainty_score":0.532811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}