{"id":"W6905913786","doi":"10.15468/dl.u95d8g","title":"Occurrence Download","year":2023,"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); Identification (biology); Data file; Data visualization","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":[0.0009475197,0.002011613,0.001562284,0.004587353,0.0009837843,0.002390728,0.002790168,0.002005366,0.1397962],"category_scores_gemma":[0.00555247,0.0009163517,0.001173744,0.009404683,0.0004523266,0.002195983,0.002479735,0.002032676,0.2023946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659242,"about_ca_system_score_gemma":0.002314553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02333482,"about_ca_topic_score_gemma":0.03642971,"domain_scores_codex":[0.9990624,0.0001205796,0.0001207064,0.00031838,0.0002157312,0.0001622975],"domain_scores_gemma":[0.9978634,0.0005861748,0.0002012825,0.0005782846,0.0005162723,0.0002546651],"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":[0.00003311183,0.00001211783,0.0003970372,0.0005558372,0.00001529367,0.00001651966,0.0000271119,0.0001441973,0.0001494201,0.0004198211,0.996731,0.001498439],"study_design_scores_gemma":[0.00007218915,0.000007949646,0.001847616,0.0001801461,0.00001380874,0.00003989181,0.00007692884,0.0001701166,0.0002307235,0.0007530835,0.9965897,0.00001783048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004535745,0.0000251423,0.00004780128,0.000032626,0.00001109526,0.000005305694,0.998794,0.0004287374,0.0006100123],"genre_scores_gemma":[0.0001636634,0.00003090193,0.0002057502,0.00003838116,0.000002757444,0.00003796832,0.9989803,0.0001551691,0.0003848988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8602038,"threshold_uncertainty_score":0.4676648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}