{"id":"W6905841306","doi":"10.15468/dl.vhzcxg","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Biodiversity; 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":[0.001040054,0.001682361,0.001409164,0.005204537,0.0008433035,0.002285395,0.00234067,0.001680803,0.1720822],"category_scores_gemma":[0.006333848,0.0007906488,0.001099612,0.009170896,0.0004080869,0.002007334,0.002571846,0.001707798,0.2124745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479898,"about_ca_system_score_gemma":0.002311581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296184,"about_ca_topic_score_gemma":0.041721,"domain_scores_codex":[0.9990165,0.0001370534,0.0001512105,0.0003195206,0.0002105738,0.0001650914],"domain_scores_gemma":[0.9973177,0.0007304224,0.0002830492,0.0006326523,0.0007288981,0.000307162],"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":[0.0000322533,0.000009578332,0.0004561616,0.0006373667,0.00001570648,0.00001512521,0.00002623633,0.00008882378,0.0001031749,0.0003633227,0.9967898,0.001462441],"study_design_scores_gemma":[0.00007153744,0.000008132678,0.002237721,0.0002228721,0.00001394409,0.00003329181,0.0000744563,0.00009765261,0.0001584856,0.0006532894,0.9964126,0.0000160213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003527443,0.00002138452,0.00003126921,0.00002723243,0.000009511784,0.000005350475,0.9991322,0.0002286916,0.0005089988],"genre_scores_gemma":[0.0001625219,0.00003566429,0.0001660963,0.00004470967,0.000003887629,0.00004721305,0.9989069,0.0001220075,0.0005110158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8279178,"threshold_uncertainty_score":0.5756723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019190639170242,"score_gpt":0.2555987093539533,"score_spread":0.2354068029622509,"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."}}