{"id":"W6905835002","doi":"10.15468/dl.qv8vbc","title":"Occurrence Download","year":2021,"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); Listing (finance); 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":[0.001063655,0.001930406,0.001602973,0.00516894,0.001005045,0.002504034,0.002911823,0.0019542,0.179704],"category_scores_gemma":[0.006908744,0.00101181,0.001217879,0.009960898,0.0004667667,0.002355997,0.002695536,0.002096101,0.222242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773953,"about_ca_system_score_gemma":0.002579311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02622076,"about_ca_topic_score_gemma":0.04010072,"domain_scores_codex":[0.9989819,0.0001259623,0.0001316105,0.0003407683,0.0002425634,0.0001772186],"domain_scores_gemma":[0.9971016,0.0008397645,0.0002719602,0.0007670457,0.0007049014,0.000314684],"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":[0.00002664179,0.0000103339,0.0003498459,0.0004688841,0.00001237974,0.00001343342,0.00002201989,0.0001153153,0.0000855266,0.0003420232,0.9972183,0.001335364],"study_design_scores_gemma":[0.00007386474,0.000007627501,0.002011837,0.0002052486,0.00001370888,0.00003261486,0.00007134312,0.0001577193,0.0001856722,0.0007010586,0.9965227,0.00001669857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000309732,0.00001591394,0.00003612056,0.00002918793,0.000009323721,0.000005090298,0.9989906,0.0003433362,0.0005395194],"genre_scores_gemma":[0.0001426709,0.00002632791,0.0001894769,0.00003819001,0.000003015993,0.00004586264,0.9989257,0.0001573843,0.0004712144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.820296,"threshold_uncertainty_score":0.6011698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}