{"id":"W6943555592","doi":"10.15468/dl.vk8wnx","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":"Download; Matching (statistics); Range (aeronautics); Lithobates; Data collection","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":[0.0009372124,0.001996389,0.001583224,0.005196068,0.0009791967,0.002514644,0.002887408,0.002043993,0.1435031],"category_scores_gemma":[0.005596096,0.0009321318,0.00114753,0.01019847,0.0004565633,0.002300235,0.002519162,0.001949154,0.2063703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628657,"about_ca_system_score_gemma":0.002432527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02538114,"about_ca_topic_score_gemma":0.04193067,"domain_scores_codex":[0.998939,0.0001379428,0.0001400028,0.0003648004,0.0002408224,0.000177462],"domain_scores_gemma":[0.9976923,0.0006177776,0.0002237636,0.00060815,0.0005794577,0.000278604],"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":[0.00002798714,0.00001095391,0.0003756788,0.0004913575,0.00001416126,0.00001545041,0.00002415119,0.0001311017,0.0001132691,0.0003725244,0.9970367,0.001386609],"study_design_scores_gemma":[0.00006932278,0.000007573523,0.001911359,0.0001823923,0.00001366808,0.00004049578,0.00008189576,0.0001585711,0.0001827255,0.0006938422,0.9966406,0.00001751633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004371387,0.00002643228,0.0000428195,0.00003312605,0.00001090843,0.000004738111,0.9988931,0.0003563829,0.0005887444],"genre_scores_gemma":[0.0001492961,0.00003035266,0.0001751193,0.00003518688,0.000002907669,0.00003346702,0.9990513,0.0001207402,0.000401694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8564969,"threshold_uncertainty_score":0.4800658,"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."}}