{"id":"W6887051612","doi":"10.15468/dl.kff3rx","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); Order (exchange)","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":[0.001021685,0.00206552,0.001696282,0.005055878,0.001063113,0.002632341,0.002965929,0.002254018,0.1648155],"category_scores_gemma":[0.006284763,0.0009593588,0.001248221,0.009739852,0.0004674172,0.002387243,0.002729696,0.002104236,0.2291615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746392,"about_ca_system_score_gemma":0.002505808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02465191,"about_ca_topic_score_gemma":0.03898638,"domain_scores_codex":[0.9989396,0.0001346002,0.000132384,0.0003670931,0.000246652,0.0001797002],"domain_scores_gemma":[0.9975689,0.0006760457,0.0002274594,0.0006357218,0.0006155389,0.0002762926],"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":[0.00002898217,0.00001085033,0.0003533019,0.0005270035,0.00001424245,0.00001466733,0.00002460358,0.0001213556,0.0001105308,0.0003839962,0.9970288,0.001381648],"study_design_scores_gemma":[0.00007736346,0.000007882611,0.001742772,0.0002036762,0.00001424275,0.00003699581,0.00007378555,0.0001593795,0.0001878498,0.0007892673,0.996689,0.00001784723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003790369,0.00002627586,0.00004506977,0.0000357167,0.00001163889,0.000005267711,0.9987865,0.0004341322,0.0006174297],"genre_scores_gemma":[0.0001493184,0.00003195988,0.0001997293,0.00004526364,0.000003129562,0.00004202635,0.9989072,0.0001702741,0.0004511747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8351845,"threshold_uncertainty_score":0.5513626,"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."}}