{"id":"W6962017490","doi":"10.15468/dl.t3u9v9","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009138776,0.001973298,0.001546628,0.004540423,0.0009602527,0.002454856,0.002668019,0.001888139,0.1662492],"category_scores_gemma":[0.005770469,0.0008915705,0.001191756,0.009012197,0.000419379,0.002183336,0.002455694,0.001847288,0.2212762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471573,"about_ca_system_score_gemma":0.002232507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021599,"about_ca_topic_score_gemma":0.03353175,"domain_scores_codex":[0.9990308,0.0001316491,0.0001174141,0.0003527895,0.0002037494,0.0001635025],"domain_scores_gemma":[0.997778,0.0006315297,0.0002104386,0.0005773822,0.0005511306,0.0002515022],"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":[0.00002958523,0.00001074769,0.0003702037,0.0005274125,0.0000141844,0.00001360419,0.00002021191,0.0001252305,0.0001158528,0.0003618974,0.9969708,0.001440324],"study_design_scores_gemma":[0.000072626,0.000009682522,0.001831236,0.0001811671,0.0000146281,0.00003546688,0.00006150083,0.0001504379,0.0001932252,0.0008004878,0.9966316,0.00001793905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004247679,0.00002779911,0.00004355017,0.00003440594,0.0000124738,0.000005256413,0.9988006,0.000381677,0.0006517359],"genre_scores_gemma":[0.0001636183,0.00003491934,0.0001955463,0.00004897687,0.000003746821,0.00004482633,0.9988349,0.0001552718,0.0005183001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8337508,"threshold_uncertainty_score":0.5561591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}