{"id":"W6924663598","doi":"10.15468/dl.qqktgk","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009241632,0.002048776,0.001603745,0.004707657,0.0009749397,0.002524872,0.002723593,0.001961282,0.1634098],"category_scores_gemma":[0.006016842,0.0009125029,0.001218013,0.00933235,0.0004253774,0.002191614,0.002446076,0.001871138,0.2173963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149692,"about_ca_system_score_gemma":0.002231042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041063,"about_ca_topic_score_gemma":0.03272032,"domain_scores_codex":[0.9989964,0.0001375202,0.0001219561,0.0003709191,0.0002072574,0.0001659809],"domain_scores_gemma":[0.9977214,0.0006703699,0.0002173735,0.00058364,0.0005551214,0.0002520591],"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":[0.0000325664,0.00001113041,0.0003873204,0.0005661718,0.00001559863,0.0000142946,0.00002114939,0.0001334919,0.0001182804,0.0003696888,0.9968705,0.001459794],"study_design_scores_gemma":[0.00008013262,0.00001014799,0.001874194,0.0001939001,0.00001625143,0.00003710328,0.00006194891,0.0001651573,0.0001954983,0.0008532383,0.9964938,0.00001876682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004320138,0.00002899646,0.00004381668,0.00003449564,0.00001217894,0.0000051181,0.998817,0.0003984746,0.0006168073],"genre_scores_gemma":[0.0001663505,0.00003575966,0.0001987234,0.00004894838,0.000003677751,0.00004501671,0.998849,0.0001627869,0.0004896869],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365902,"threshold_uncertainty_score":0.5466603,"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."}}