{"id":"W6924351797","doi":"10.15468/dl.5mhe4a","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Base (topology); Confidentiality","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":[0.0008518777,0.002576174,0.002006597,0.006106206,0.001530472,0.003980076,0.003074861,0.003011486,0.2377469],"category_scores_gemma":[0.007562904,0.0009926585,0.001759985,0.009906554,0.0004741514,0.004612835,0.003692062,0.002500847,0.3349665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732606,"about_ca_system_score_gemma":0.002667811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01873916,"about_ca_topic_score_gemma":0.03820236,"domain_scores_codex":[0.9986273,0.0001739593,0.000208516,0.0004783145,0.0002978088,0.0002140797],"domain_scores_gemma":[0.996913,0.0008070864,0.0002553078,0.0007329679,0.0009313475,0.00036039],"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":[0.00005046829,0.0000158522,0.0004339767,0.0007488355,0.000014247,0.00003131222,0.00002786379,0.0001106094,0.0001036012,0.0004555495,0.9951289,0.002878782],"study_design_scores_gemma":[0.00006663254,0.00001323468,0.001237471,0.0002364585,0.0000142711,0.00006842065,0.00010513,0.0002829779,0.000161007,0.001242727,0.9965502,0.00002148849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009684816,0.0001281705,0.0001396289,0.000112993,0.00004274627,0.00001459594,0.9954335,0.001638098,0.002393274],"genre_scores_gemma":[0.000354527,0.000103995,0.0005286698,0.0001223563,0.00001359009,0.00005044162,0.9972093,0.0003826302,0.001234585],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.762253,"threshold_uncertainty_score":0.7953427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446670934072609,"score_gpt":0.2684927199298797,"score_spread":0.2540260105891536,"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."}}