{"id":"W6962090404","doi":"10.15468/dl.smf4zs","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); Column (typography)","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":[0.00111608,0.002005734,0.001663871,0.00556145,0.00105842,0.002780955,0.00295353,0.002081372,0.1655181],"category_scores_gemma":[0.006585484,0.0009747103,0.001195789,0.01054615,0.0004717721,0.002451039,0.002646676,0.002044899,0.2270113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687919,"about_ca_system_score_gemma":0.00251591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0230725,"about_ca_topic_score_gemma":0.0377353,"domain_scores_codex":[0.9988084,0.0001588398,0.0001595111,0.0004155665,0.0002676219,0.000189963],"domain_scores_gemma":[0.9971963,0.0008114109,0.0002654684,0.0007330045,0.0006810629,0.0003127985],"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":[0.00002783258,0.00001068091,0.0003673006,0.0005287991,0.00001497147,0.00001500535,0.00002409715,0.0001159336,0.0001155382,0.0003773868,0.9970456,0.00135686],"study_design_scores_gemma":[0.00006613819,0.000007471072,0.001836823,0.0001950971,0.00001478585,0.00003895149,0.00007470983,0.0001392744,0.0001839014,0.0007231605,0.9967019,0.00001775985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003660966,0.00002511636,0.00004342227,0.00003288533,0.00001103014,0.000004598465,0.9989214,0.0003462166,0.0005787805],"genre_scores_gemma":[0.0001428327,0.00003156452,0.0001824447,0.00003968467,0.000003135993,0.00003662435,0.9989884,0.0001454297,0.0004298718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8344819,"threshold_uncertainty_score":0.5537132,"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."}}