{"id":"W6887135465","doi":"10.15468/dl.nq6yz2","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); Set (abstract data type); 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":[0.0009621122,0.001968252,0.001575594,0.004748912,0.000966455,0.002457863,0.002777954,0.001950344,0.151176],"category_scores_gemma":[0.005664749,0.0009230359,0.001185287,0.009562709,0.0004560348,0.002180005,0.002572238,0.002001688,0.2082415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613771,"about_ca_system_score_gemma":0.002349283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0245706,"about_ca_topic_score_gemma":0.03920835,"domain_scores_codex":[0.9990554,0.0001245481,0.0001174634,0.0003275739,0.0002151942,0.0001598324],"domain_scores_gemma":[0.9977969,0.0006313956,0.0002045901,0.0005790011,0.0005339721,0.0002541585],"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":[0.00002969395,0.00001102824,0.0003980871,0.0005537544,0.00001605657,0.00001574854,0.00002803078,0.0001403997,0.0001393643,0.0004206117,0.9967448,0.001502488],"study_design_scores_gemma":[0.00006911864,0.000007558592,0.001903403,0.000186997,0.00001461257,0.00003669369,0.00007557558,0.0001587321,0.0002081287,0.0007636722,0.9965577,0.00001778192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004282562,0.0000248915,0.00004918742,0.00003198129,0.00001104241,0.000004892615,0.998793,0.0004298631,0.0006123335],"genre_scores_gemma":[0.0001622684,0.00003025176,0.0002038722,0.00004003433,0.00000284587,0.00003835552,0.9989385,0.0001695198,0.0004143814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.848824,"threshold_uncertainty_score":0.505734,"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."}}