{"id":"W6887018675","doi":"10.15468/dl.kgahmx","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); Range (aeronautics); Identification (biology)","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":[0.0008639136,0.002000048,0.001551263,0.005245065,0.001026054,0.002578883,0.00295808,0.002040705,0.1601542],"category_scores_gemma":[0.005602614,0.0009138479,0.001118501,0.01045284,0.0004481265,0.002331371,0.002484147,0.002084516,0.2322201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001820826,"about_ca_system_score_gemma":0.002418402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0251672,"about_ca_topic_score_gemma":0.04178707,"domain_scores_codex":[0.9989969,0.00012757,0.0001239781,0.0003403346,0.0002417589,0.0001694969],"domain_scores_gemma":[0.9976857,0.0006178707,0.0002100293,0.0005943704,0.0006320172,0.0002600565],"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":[0.00002478166,0.00001101953,0.0003436596,0.0004421216,0.00001127153,0.00001380623,0.00002159166,0.0001173466,0.00009189344,0.0003300438,0.9971136,0.001478869],"study_design_scores_gemma":[0.00005983334,0.000007340213,0.001651791,0.0001658386,0.00001216772,0.00003742386,0.00008153553,0.0001653331,0.0001872832,0.0006722686,0.9969425,0.00001665037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004150532,0.00002402955,0.00004427,0.00003454712,0.00001069901,0.000005006815,0.9987881,0.0003765454,0.0006752728],"genre_scores_gemma":[0.0001529081,0.00003037732,0.0002059254,0.00003645804,0.000003048486,0.00003942539,0.9988557,0.0001355437,0.0005406651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8398458,"threshold_uncertainty_score":0.5357692,"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."}}