{"id":"W6943446077","doi":"10.15468/dl.u8jh28","title":"Occurrence Download","year":2020,"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); Set (abstract data type); Data set","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":[0.0009889492,0.002064561,0.001547577,0.005290671,0.001088547,0.002911413,0.003106896,0.002236668,0.1760205],"category_scores_gemma":[0.006369696,0.001022775,0.001348683,0.01074043,0.0004584092,0.002853771,0.002922013,0.002191224,0.2483176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868282,"about_ca_system_score_gemma":0.002511018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02403183,"about_ca_topic_score_gemma":0.03907457,"domain_scores_codex":[0.9988268,0.0001536312,0.0001571507,0.0003987767,0.0002661471,0.0001975296],"domain_scores_gemma":[0.9974629,0.0006648308,0.0002157198,0.0006899494,0.000679309,0.0002873061],"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":[0.00003024526,0.00001091849,0.0003205203,0.0005056689,0.00001227519,0.00001502884,0.00002292853,0.0001163347,0.0001027825,0.0003986213,0.9968976,0.001567039],"study_design_scores_gemma":[0.00006124315,0.00000738138,0.001422088,0.000166333,0.00001074863,0.0000360931,0.00006975037,0.0001468468,0.0001543456,0.0007081673,0.9972005,0.00001651408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003958795,0.00002755347,0.00005263758,0.00004241537,0.0000136205,0.000005947014,0.9985202,0.0004918212,0.0008061634],"genre_scores_gemma":[0.0001521856,0.00003633588,0.000236179,0.0000526794,0.000003678083,0.00004285767,0.998723,0.0001761137,0.0005769081],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8239795,"threshold_uncertainty_score":0.5888473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}