{"id":"W6924874224","doi":"10.15468/dl.tbahg3","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien","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":[0.0009359417,0.00214718,0.001488448,0.004334971,0.0009980629,0.002499903,0.002998305,0.002351985,0.1222556],"category_scores_gemma":[0.00558554,0.0008296469,0.001417121,0.007818496,0.0004426001,0.002321595,0.002406389,0.002072607,0.1938591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611917,"about_ca_system_score_gemma":0.002070223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141568,"about_ca_topic_score_gemma":0.0341901,"domain_scores_codex":[0.9990851,0.0001281156,0.0001107619,0.000311822,0.0002209486,0.0001432469],"domain_scores_gemma":[0.9979805,0.0005703758,0.0001621522,0.0005662685,0.0005117928,0.0002088481],"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":[0.00002629083,0.0000141428,0.0003981832,0.0004808037,0.00001443033,0.00001517617,0.00001831257,0.000203644,0.00009792879,0.0003983676,0.9966971,0.001635688],"study_design_scores_gemma":[0.00007678657,0.000009390514,0.001750664,0.0002098348,0.00001420156,0.00003999638,0.00007110251,0.0003344514,0.0002183546,0.001058257,0.9961982,0.00001861298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005694518,0.00003863734,0.00006821707,0.00005032354,0.00001564604,0.000007062023,0.9984647,0.0005931304,0.0007054161],"genre_scores_gemma":[0.0001962483,0.00004239349,0.0002570781,0.0000504051,0.000003985978,0.00004570912,0.998782,0.0001468265,0.0004754939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8777444,"threshold_uncertainty_score":0.4089858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203997523618262,"score_gpt":0.1886719040667607,"score_spread":0.1766319288305781,"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."}}