{"id":"W6905940674","doi":"10.15468/dl.kuzdgr","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); Data collection; Range (aeronautics)","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":[0.00101237,0.001934347,0.001564258,0.005364207,0.0009321403,0.002524629,0.002690873,0.001840568,0.2007613],"category_scores_gemma":[0.005891658,0.0009468464,0.001201576,0.01009226,0.0004282801,0.002383925,0.002880163,0.001885656,0.2759199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538367,"about_ca_system_score_gemma":0.00242487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0229653,"about_ca_topic_score_gemma":0.03942503,"domain_scores_codex":[0.9989238,0.0001361811,0.0001340622,0.0003713367,0.0002511397,0.0001833886],"domain_scores_gemma":[0.9973311,0.0006753174,0.000241517,0.0007132614,0.0007077631,0.0003310844],"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":[0.0000254024,0.000008222662,0.0002941526,0.0004841194,0.00001310348,0.00001113858,0.00002004315,0.00008638312,0.0001071931,0.0003142756,0.9972,0.001435912],"study_design_scores_gemma":[0.00005559254,0.000006873118,0.001643735,0.0001713493,0.00001257465,0.00002932638,0.00005794431,0.00009402161,0.0001716262,0.000632288,0.997109,0.00001574661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003291418,0.00002447678,0.000042058,0.00002967806,0.00001125826,0.000005011203,0.9988018,0.0003847831,0.0006680019],"genre_scores_gemma":[0.0001404927,0.00003378568,0.0001935062,0.00004364444,0.000003600292,0.00003882916,0.9988474,0.0001755568,0.0005231726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7992387,"threshold_uncertainty_score":0.6716135,"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."}}