{"id":"W6924488125","doi":"10.15468/dl.vxgw4x","title":"Occurrence Download","year":2022,"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":[0.00107823,0.002049585,0.001688373,0.005882329,0.00104285,0.002796729,0.002854643,0.002008172,0.1736621],"category_scores_gemma":[0.006368767,0.0009717223,0.001235995,0.01151575,0.0004778646,0.002445709,0.002840796,0.002044841,0.2446317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676404,"about_ca_system_score_gemma":0.002700749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02398758,"about_ca_topic_score_gemma":0.03977665,"domain_scores_codex":[0.9987826,0.0001596077,0.0001590294,0.0004052198,0.0002849157,0.0002086001],"domain_scores_gemma":[0.9972261,0.0007204431,0.0002649548,0.0007074665,0.0007503463,0.0003306908],"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":[0.00002997782,0.000009815722,0.0003259582,0.0005683967,0.00001495054,0.00001374386,0.00002200037,0.0001024151,0.0001213419,0.0003781878,0.9970267,0.001386549],"study_design_scores_gemma":[0.0000620768,0.000007070276,0.001618931,0.0001937045,0.00001382978,0.00003286606,0.00006182524,0.00009911381,0.0001749832,0.0006821579,0.9970371,0.00001637473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003305333,0.00002693114,0.00003820186,0.00003132534,0.00001075752,0.000004992281,0.9988764,0.0003241845,0.0006540564],"genre_scores_gemma":[0.0001341459,0.00003535584,0.0001672138,0.00004616806,0.000003381416,0.00003600812,0.9989731,0.0001446366,0.0004600482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8263379,"threshold_uncertainty_score":0.5809576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}