{"id":"W6943697842","doi":"10.15468/dl.x7cn7p","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); Range (aeronautics); Odocoileus; Set (abstract data type)","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":[0.0009981799,0.001932433,0.001537639,0.00473741,0.0009313871,0.002447748,0.002746556,0.001977706,0.1475446],"category_scores_gemma":[0.005874644,0.0009288015,0.001166043,0.009710205,0.0004435708,0.002211919,0.002500929,0.002002621,0.2074917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593324,"about_ca_system_score_gemma":0.002285701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269639,"about_ca_topic_score_gemma":0.03585593,"domain_scores_codex":[0.9990157,0.0001324561,0.000125886,0.0003361408,0.0002264494,0.0001634824],"domain_scores_gemma":[0.9976768,0.0006578335,0.0002189872,0.0006146047,0.000566121,0.0002657587],"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":[0.00002835144,0.0000110578,0.0003801069,0.0005226748,0.00001521057,0.00001475246,0.00002610729,0.0001404373,0.0001261162,0.000401309,0.9968607,0.001473034],"study_design_scores_gemma":[0.00006897219,0.000007484779,0.0018545,0.0001863281,0.00001393341,0.00003584645,0.000074151,0.0001612865,0.0001972659,0.0007588845,0.9966241,0.00001737408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004190462,0.0000248239,0.00004919864,0.0000335478,0.00001123542,0.000005011139,0.9988266,0.0004103055,0.000597476],"genre_scores_gemma":[0.0001550886,0.00003082787,0.0002088835,0.00004047528,0.000002982378,0.00004015171,0.9989518,0.0001656896,0.0004040878],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8524554,"threshold_uncertainty_score":0.4935858,"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."}}