{"id":"W6924664389","doi":"10.15468/dl.nszjdy","title":"Occurrence Download","year":2022,"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; Data set","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":[0.0009554965,0.001989371,0.00166139,0.004875013,0.000945601,0.002649026,0.002752414,0.002007563,0.1666216],"category_scores_gemma":[0.00574645,0.0009376911,0.001124286,0.0100402,0.0004144961,0.00237621,0.00250527,0.001973592,0.2333516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478577,"about_ca_system_score_gemma":0.002109175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0188669,"about_ca_topic_score_gemma":0.03113515,"domain_scores_codex":[0.9989906,0.0001328794,0.0001235141,0.0003581803,0.0002319634,0.000162903],"domain_scores_gemma":[0.9977372,0.0006327035,0.0002103441,0.0006112037,0.0005452316,0.0002634291],"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":[0.00002816663,0.00001075647,0.0003514703,0.0005207571,0.00001487856,0.00001410794,0.00002202963,0.0001347019,0.0001125984,0.0003874004,0.9969145,0.001488675],"study_design_scores_gemma":[0.00006854422,0.000007566325,0.001737688,0.0001756914,0.00001399072,0.000034529,0.00006636783,0.0001555723,0.0001808516,0.000811186,0.9967308,0.00001711949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003913121,0.00002689797,0.00004855901,0.00003187503,0.00001110211,0.000004525297,0.9988123,0.0003811631,0.0006444263],"genre_scores_gemma":[0.0001565012,0.00003293967,0.0002050097,0.00003940333,0.000003308763,0.00003763752,0.9988928,0.0001622627,0.0004700564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8333784,"threshold_uncertainty_score":0.5574046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}