{"id":"W6943352928","doi":"10.15468/dl.s9sj97","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); Order (exchange); Data set","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":[0.0009557842,0.001851427,0.001528787,0.004803341,0.0009085434,0.002523645,0.002663589,0.001987285,0.1530076],"category_scores_gemma":[0.005647727,0.0008505572,0.001105629,0.009742446,0.0004060486,0.002303398,0.002418203,0.001909725,0.2100504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469751,"about_ca_system_score_gemma":0.002174984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01845634,"about_ca_topic_score_gemma":0.03170449,"domain_scores_codex":[0.9990106,0.0001353116,0.0001259401,0.0003476145,0.0002168034,0.0001637809],"domain_scores_gemma":[0.9977155,0.0006366956,0.0002220814,0.0005959081,0.0005539388,0.000275985],"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":[0.00002963065,0.00001162503,0.0003981034,0.0005305287,0.00001567652,0.00001436316,0.00002167841,0.0001349154,0.0001165206,0.0003988864,0.9968868,0.001441345],"study_design_scores_gemma":[0.00006870389,0.000008193178,0.001907227,0.0001879927,0.00001431358,0.00003548533,0.00006863657,0.0001475839,0.0001830042,0.0007767548,0.9965852,0.00001678674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004160526,0.00002754725,0.00004089267,0.00003332661,0.00001121766,0.000004672506,0.9989365,0.000301,0.0006033729],"genre_scores_gemma":[0.0001573965,0.00003270873,0.0001737644,0.000042158,0.000003346494,0.00003645584,0.9989688,0.0001217959,0.0004635465],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469924,"threshold_uncertainty_score":0.5118616,"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."}}