{"id":"W6905915421","doi":"10.15468/dl.rzdmuc","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); Alien; Species name","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":[0.0009815262,0.002047386,0.001595165,0.004637151,0.001046076,0.002510368,0.002834346,0.002216766,0.1537138],"category_scores_gemma":[0.005864527,0.0009168883,0.001324212,0.008605368,0.0004491448,0.002472278,0.002588081,0.001997653,0.2145201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559107,"about_ca_system_score_gemma":0.002285892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02199961,"about_ca_topic_score_gemma":0.03504156,"domain_scores_codex":[0.9990012,0.0001403255,0.0001241265,0.0003535528,0.0002151207,0.0001657191],"domain_scores_gemma":[0.9975395,0.0007213337,0.0002068801,0.0006692428,0.0005941021,0.0002689334],"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":[0.00003093401,0.0000129995,0.000363931,0.0005283689,0.00001444193,0.00001622722,0.00002285707,0.0001300058,0.0001244571,0.0003482637,0.9969734,0.001434206],"study_design_scores_gemma":[0.00008073785,0.00001012293,0.002012571,0.0002002039,0.00001539016,0.00004119646,0.00008091545,0.0001900702,0.0002118979,0.000804254,0.9963334,0.00001937291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005056009,0.00002883045,0.00005085672,0.00004313948,0.00001462857,0.000006687766,0.9986537,0.0004884758,0.000663112],"genre_scores_gemma":[0.0001670978,0.00003239496,0.0002130384,0.00004809837,0.000003737849,0.00004546602,0.998892,0.00015222,0.0004460037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8462862,"threshold_uncertainty_score":0.5142238,"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."}}