{"id":"W6905807076","doi":"10.15468/dl.n3xccm","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 source","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":[0.0009834344,0.001931874,0.0016195,0.004936886,0.001020156,0.002670155,0.002797386,0.002154753,0.1686762],"category_scores_gemma":[0.006104979,0.0009292446,0.00116403,0.009462958,0.0004406094,0.002522984,0.002612705,0.002108708,0.2257312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605678,"about_ca_system_score_gemma":0.002318459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025557,"about_ca_topic_score_gemma":0.03567154,"domain_scores_codex":[0.998944,0.0001466537,0.0001321577,0.0003772524,0.0002290901,0.0001708846],"domain_scores_gemma":[0.9974918,0.0007204729,0.0002328648,0.0006634719,0.0005977962,0.0002936803],"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":[0.00002802512,0.00001101433,0.0003472643,0.0005167026,0.00001376635,0.00001415132,0.00002216001,0.000117034,0.0001062912,0.000382332,0.997187,0.001254386],"study_design_scores_gemma":[0.00007111725,0.000007756257,0.001716655,0.0001845457,0.00001335632,0.00003534055,0.00006981172,0.0001457381,0.0001716632,0.0008308492,0.9967354,0.00001759649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003829039,0.00002501584,0.00004376776,0.00003614901,0.00001114412,0.000004917833,0.9988338,0.0003634007,0.0006433966],"genre_scores_gemma":[0.0001611656,0.00003235575,0.0001990932,0.00004661859,0.000003398032,0.00004077967,0.9988711,0.0001526514,0.0004927848],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8313238,"threshold_uncertainty_score":0.564278,"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."}}