{"id":"W6962313790","doi":"10.15468/dl.ywynu7","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); Data set; Order (exchange)","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":[0.0009149266,0.002012624,0.001655514,0.005102785,0.00109899,0.002863592,0.002938782,0.002171768,0.1899423],"category_scores_gemma":[0.006554446,0.00100527,0.001386506,0.01047243,0.00042917,0.002696498,0.002761085,0.002127283,0.2822236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619074,"about_ca_system_score_gemma":0.002342409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01920102,"about_ca_topic_score_gemma":0.03216009,"domain_scores_codex":[0.9988424,0.0001467328,0.0001491797,0.0004120157,0.0002566532,0.0001930874],"domain_scores_gemma":[0.9974656,0.0006768003,0.0002114076,0.0006621327,0.0007119565,0.0002721],"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":[0.00002628851,0.00000984197,0.0003263903,0.0005193946,0.00001382294,0.00001353959,0.00002018989,0.0001117846,0.00009979179,0.0003315912,0.9968842,0.001643161],"study_design_scores_gemma":[0.00006430399,0.00000766207,0.00145742,0.0001874108,0.00001334129,0.00003429905,0.00006755428,0.000155118,0.0001638584,0.0007307369,0.9971022,0.0000161519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003836946,0.00003188794,0.00005208844,0.0000405955,0.00001468863,0.000005756783,0.9985843,0.0004735789,0.0007587295],"genre_scores_gemma":[0.0001499211,0.00003914301,0.0002232531,0.0000497053,0.000004275075,0.00004406309,0.9987593,0.0001746234,0.0005557561],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8100577,"threshold_uncertainty_score":0.6354203,"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."}}