{"id":"W6887121764","doi":"10.15468/dl.thtu23","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","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":[0.001017592,0.002031249,0.001668437,0.004811814,0.001048103,0.002660342,0.00293998,0.002269201,0.1558698],"category_scores_gemma":[0.006123666,0.000940774,0.00118106,0.009404461,0.0004617819,0.002432928,0.002571434,0.00212076,0.2157211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574642,"about_ca_system_score_gemma":0.002352773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028419,"about_ca_topic_score_gemma":0.03527794,"domain_scores_codex":[0.9989197,0.0001533652,0.0001348429,0.0003865783,0.0002302723,0.0001753118],"domain_scores_gemma":[0.9974329,0.0007514911,0.0002390411,0.0006797999,0.0006027466,0.0002941397],"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":[0.0000305843,0.00001197982,0.0003679361,0.0005695756,0.00001539646,0.00001560128,0.00002358731,0.0001242124,0.0001193036,0.0003843097,0.9970629,0.001274585],"study_design_scores_gemma":[0.00008048153,0.000008429811,0.001808578,0.0001925213,0.00001496211,0.00003907254,0.00007193789,0.0001484708,0.0001861796,0.0008537562,0.9965762,0.00001914402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004004615,0.00002647005,0.00004407152,0.00003519866,0.00001110488,0.000005101108,0.9988722,0.0003670223,0.0005987028],"genre_scores_gemma":[0.000161384,0.00003139969,0.0001984746,0.00004668529,0.000003311087,0.00004190789,0.9989409,0.0001435022,0.000432412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8441303,"threshold_uncertainty_score":0.5214363,"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."}}