{"id":"W6962224824","doi":"10.15468/dl.nzrw5t","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); 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":[0.0009762564,0.001947892,0.001615388,0.004703211,0.001042889,0.002584253,0.002907342,0.00214963,0.157021],"category_scores_gemma":[0.005927601,0.0009265252,0.001204306,0.00954554,0.0004507577,0.002388197,0.002570896,0.002094595,0.2293428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669166,"about_ca_system_score_gemma":0.002361623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02400168,"about_ca_topic_score_gemma":0.03951849,"domain_scores_codex":[0.9990238,0.0001295044,0.0001214652,0.0003389225,0.0002284172,0.0001578723],"domain_scores_gemma":[0.9977391,0.0006317846,0.0002048045,0.000592482,0.0005846645,0.0002471133],"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":[0.00002721716,0.00001088033,0.0003651063,0.0005271535,0.00001455194,0.00001498026,0.00002599117,0.0001344787,0.0001202279,0.0004091978,0.9967977,0.001552503],"study_design_scores_gemma":[0.00006192478,0.00000682217,0.001601137,0.0001838549,0.00001298514,0.00003361739,0.00007091273,0.000154148,0.0001766965,0.0007730152,0.9969077,0.00001725197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003990877,0.0000267688,0.00005398023,0.0000359838,0.00001202034,0.000005178537,0.9987127,0.000443131,0.0006703874],"genre_scores_gemma":[0.0001522952,0.0000318765,0.0002263017,0.00004274795,0.000003095432,0.00004059685,0.9988772,0.0001710172,0.0004548393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.842979,"threshold_uncertainty_score":0.5252877,"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."}}