{"id":"W6943335775","doi":"10.15468/dl.zwtvbp","title":"Occurrence Download","year":2015,"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); R package; 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":[0.001054939,0.001959957,0.001555883,0.005248281,0.0009120787,0.002566053,0.002832838,0.001982153,0.1303874],"category_scores_gemma":[0.005979814,0.0008385173,0.001210531,0.00999827,0.0004106968,0.00220849,0.002559697,0.00192682,0.1944212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698979,"about_ca_system_score_gemma":0.002455456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02199956,"about_ca_topic_score_gemma":0.03778701,"domain_scores_codex":[0.9988424,0.0001627983,0.0001593303,0.0003832494,0.0002610813,0.0001911573],"domain_scores_gemma":[0.9975132,0.00062711,0.0002585551,0.0006774083,0.0006333565,0.0002904694],"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":[0.00003293986,0.00001196063,0.0004493672,0.0005607975,0.00001798447,0.00001476326,0.00002100862,0.0001333057,0.0001132245,0.0003963238,0.9967938,0.001454558],"study_design_scores_gemma":[0.00007774213,0.00000878687,0.00224125,0.0002026446,0.00001627319,0.00003704463,0.00005971717,0.0001575097,0.0001941583,0.0007678432,0.9962193,0.00001772147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004319489,0.00002931713,0.00003793213,0.00003240911,0.000009993675,0.000005198583,0.9989395,0.0003184131,0.0005840759],"genre_scores_gemma":[0.0001519251,0.00003255931,0.0001490406,0.00003886066,0.000003125996,0.00003355056,0.999124,0.00009327212,0.0003738152],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8696126,"threshold_uncertainty_score":0.4361892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}