{"id":"W6905666199","doi":"10.15468/dl.cnnp6j","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); Barcode; Range (aeronautics); Data collection; Life history","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":[0.001050825,0.002043293,0.001653093,0.005696517,0.000958812,0.002726878,0.002762275,0.001990926,0.2087176],"category_scores_gemma":[0.00694278,0.0009954836,0.001345793,0.01014457,0.0003995436,0.002649064,0.002886752,0.001815566,0.2658739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652433,"about_ca_system_score_gemma":0.002342846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013512,"about_ca_topic_score_gemma":0.03109471,"domain_scores_codex":[0.9988476,0.0001413566,0.0001709021,0.0004065606,0.0002357336,0.0001978304],"domain_scores_gemma":[0.9971711,0.000760648,0.0002778496,0.0007326411,0.0007342051,0.000323694],"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":[0.00003500658,0.00001088544,0.0004507088,0.0005752872,0.0000151445,0.00001386479,0.00002137323,0.0001137858,0.00009836366,0.0002984229,0.9966743,0.001692883],"study_design_scores_gemma":[0.00008748964,0.00001111955,0.00226032,0.0002177959,0.00001548417,0.00003753639,0.00007826689,0.0001803949,0.0001678823,0.0006875909,0.9962375,0.00001844716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003400944,0.00001919669,0.00003402846,0.00002817998,0.00001043862,0.000005193371,0.9990788,0.0003241175,0.0004660516],"genre_scores_gemma":[0.0001460103,0.00003053059,0.0001986617,0.00004147494,0.000003968192,0.0000490731,0.9989113,0.0001429465,0.0004761311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7912824,"threshold_uncertainty_score":0.6982298,"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."}}