{"id":"W6906005319","doi":"10.15468/dl.yvyqzh","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); State (computer science); 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":[0.001002529,0.002007017,0.001530277,0.004913582,0.001035791,0.002494743,0.002912407,0.002181744,0.1531535],"category_scores_gemma":[0.005721201,0.0009077123,0.001176685,0.009221464,0.0004725906,0.002432046,0.002583369,0.002095853,0.2108323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158286,"about_ca_system_score_gemma":0.002229742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116033,"about_ca_topic_score_gemma":0.03632558,"domain_scores_codex":[0.998966,0.0001497159,0.0001289245,0.000365871,0.0002186126,0.0001708342],"domain_scores_gemma":[0.9975277,0.0006985119,0.0002286723,0.0006809949,0.0005785772,0.0002856379],"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":[0.00002737101,0.00001241968,0.0003531501,0.0004777018,0.00001368562,0.0000147417,0.00002364128,0.0001302723,0.0001063906,0.0003725209,0.9971375,0.001330609],"study_design_scores_gemma":[0.00007264862,0.000008364695,0.001763514,0.000173999,0.00001332305,0.00003874984,0.00007859018,0.0001668984,0.0001787579,0.0008093567,0.9966778,0.00001811298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004811707,0.00002718918,0.00005109108,0.00003939708,0.00001375903,0.000005865707,0.9987459,0.0003982886,0.0006703424],"genre_scores_gemma":[0.0001652502,0.00002997726,0.0002086677,0.00004476206,0.000003640044,0.0000436365,0.9989069,0.0001429952,0.0004542603],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8468465,"threshold_uncertainty_score":0.5123496,"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."}}