{"id":"W6906035170","doi":"10.15468/dl.uzfxz9","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":[0.0009220004,0.00200039,0.001565051,0.00446021,0.0009354629,0.002380889,0.002800711,0.001943879,0.1500726],"category_scores_gemma":[0.005453093,0.0009083819,0.001157528,0.009210118,0.000434881,0.002158537,0.002468384,0.001932031,0.21687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568957,"about_ca_system_score_gemma":0.002211747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309172,"about_ca_topic_score_gemma":0.03661781,"domain_scores_codex":[0.9990829,0.0001227724,0.0001149001,0.0003226238,0.0002025142,0.0001542544],"domain_scores_gemma":[0.9978744,0.000574272,0.0001972417,0.0005796195,0.0005282894,0.0002462147],"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":[0.00002882036,0.00001072155,0.0003821494,0.0005122126,0.0000153954,0.00001458048,0.00002477419,0.0001430933,0.0001302924,0.0003710409,0.996858,0.001509049],"study_design_scores_gemma":[0.00007347189,0.000007936909,0.001888527,0.0001778565,0.00001461044,0.00003569585,0.00007484174,0.0001659672,0.0002027065,0.0007434587,0.996597,0.00001795717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004136714,0.00002462535,0.00004746367,0.00003236967,0.00001165535,0.000004896689,0.9988492,0.0004063506,0.0005820789],"genre_scores_gemma":[0.0001535449,0.00002902872,0.0001925918,0.00003819365,0.00000296146,0.00003701276,0.9989951,0.000154212,0.0003973434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8499274,"threshold_uncertainty_score":0.502043,"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."}}