{"id":"W6905559505","doi":"10.15468/dl.khnr7k","title":"Occurrence Download","year":2023,"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); The Internet; Range (aeronautics); Column (typography)","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":[0.000986097,0.002088975,0.001672686,0.005035941,0.0009892253,0.002606703,0.00299346,0.002170142,0.1493755],"category_scores_gemma":[0.00575218,0.0009445074,0.001225534,0.009585207,0.0004722193,0.002356924,0.00252114,0.002031179,0.2168747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633892,"about_ca_system_score_gemma":0.002272837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207628,"about_ca_topic_score_gemma":0.03480653,"domain_scores_codex":[0.9989688,0.0001354988,0.000133667,0.0003605173,0.0002303225,0.0001712467],"domain_scores_gemma":[0.9977035,0.0006429121,0.0002212742,0.000608915,0.0005533202,0.0002701473],"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":[0.00002848214,0.00001106181,0.0003608947,0.00052752,0.00001531898,0.00001521902,0.00002357747,0.0001299608,0.0001167937,0.0003660643,0.9970347,0.001370611],"study_design_scores_gemma":[0.00007631088,0.000008049614,0.001796673,0.0001851637,0.00001468042,0.00003994632,0.00007225892,0.0001691402,0.0001927667,0.0007605383,0.9966665,0.00001799236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004118708,0.00002853443,0.00004430632,0.00003475143,0.00001170772,0.000004975205,0.9988528,0.0003894226,0.0005922724],"genre_scores_gemma":[0.0001562354,0.0000329107,0.0001818201,0.00004107315,0.000003279192,0.00003717043,0.999001,0.0001393816,0.0004070945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8506246,"threshold_uncertainty_score":0.4997107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}