{"id":"W6924733161","doi":"10.15468/dl.nnenza","title":"Occurrence Download","year":2024,"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); Feature (linguistics); 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":[0.00102907,0.00200329,0.001607113,0.004905019,0.001067045,0.002558834,0.003043956,0.002121084,0.1486275],"category_scores_gemma":[0.005988743,0.0009626743,0.001241461,0.009865806,0.0004770558,0.002338924,0.002647424,0.002125599,0.2073663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163987,"about_ca_system_score_gemma":0.002472903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02561782,"about_ca_topic_score_gemma":0.04093618,"domain_scores_codex":[0.9989501,0.0001404112,0.0001278637,0.0003669998,0.0002426239,0.0001720441],"domain_scores_gemma":[0.9976059,0.0006709483,0.0002186738,0.0006499074,0.0005729519,0.0002815501],"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":[0.00002865914,0.00001150678,0.000370776,0.0004702277,0.00001466127,0.00001486152,0.00002472201,0.0001278181,0.0001219915,0.0004009003,0.9970576,0.001356405],"study_design_scores_gemma":[0.00006903542,0.000007823884,0.001860452,0.0001651999,0.00001407806,0.00003641382,0.00007556403,0.0001564331,0.0001995584,0.0007585736,0.9966391,0.0000177887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004715829,0.00002586322,0.00005180555,0.00003865556,0.00001217571,0.000005234385,0.998725,0.0004501668,0.0006439931],"genre_scores_gemma":[0.0001639363,0.00002969436,0.0002008015,0.00004152017,0.000003029463,0.00003957204,0.9989015,0.0001659854,0.0004540047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8513725,"threshold_uncertainty_score":0.4972085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}