{"id":"W6943625433","doi":"10.15468/dl.vbhfvi","title":"Occurrence Download","year":2019,"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); Confidentiality","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":[0.0009138449,0.001862206,0.00159741,0.004957468,0.001005877,0.002654348,0.002824056,0.001899062,0.1794848],"category_scores_gemma":[0.006082891,0.0008706843,0.001193154,0.009912929,0.0004366142,0.002349284,0.002757668,0.001965434,0.2469394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157948,"about_ca_system_score_gemma":0.002376188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02484063,"about_ca_topic_score_gemma":0.03914608,"domain_scores_codex":[0.9990371,0.0001254478,0.0001254879,0.0003395814,0.0002075803,0.0001646849],"domain_scores_gemma":[0.9977329,0.0006423256,0.0002083575,0.0005791513,0.0005727519,0.0002644471],"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":[0.00002508444,0.000009251091,0.0003600841,0.0005069803,0.0000134723,0.00001432181,0.00002385682,0.0001072981,0.00009443153,0.0003557918,0.9970611,0.001428196],"study_design_scores_gemma":[0.00005762206,0.000006866246,0.001721564,0.0002086251,0.00001405577,0.00003557272,0.00007676163,0.0001378181,0.000165606,0.0007562349,0.9968029,0.00001636347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003735113,0.00002864602,0.00004534282,0.00003775759,0.00001312638,0.000004911622,0.9987583,0.0004113973,0.0006631566],"genre_scores_gemma":[0.0001643126,0.0000384714,0.0001993256,0.0000473098,0.000003885274,0.00004206245,0.9987884,0.0001748465,0.0005414452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8205153,"threshold_uncertainty_score":0.6004363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}