{"id":"W6925100142","doi":"10.15468/dl.t9gqdq","title":"Occurrence Download","year":2020,"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); Identification (biology)","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":[0.001142224,0.001913654,0.001551044,0.005061744,0.001039195,0.002612812,0.00309773,0.001999933,0.1770697],"category_scores_gemma":[0.00655078,0.0009657132,0.001171887,0.009738532,0.0004718024,0.00249026,0.002588869,0.002088827,0.2330698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174113,"about_ca_system_score_gemma":0.002570989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02423184,"about_ca_topic_score_gemma":0.03721475,"domain_scores_codex":[0.9989423,0.0001383612,0.0001378282,0.0003581306,0.0002518689,0.000171621],"domain_scores_gemma":[0.9972568,0.0007608447,0.0002407445,0.0007487889,0.0006637762,0.000329124],"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":[0.00002759663,0.00001124799,0.0003271237,0.0004092529,0.00001211497,0.00001421642,0.00002194606,0.0001164187,0.000104704,0.0003826366,0.9971718,0.001400882],"study_design_scores_gemma":[0.00006190279,0.000007198912,0.001768924,0.0001628919,0.00001258852,0.00003534735,0.00006771468,0.0001634021,0.000220406,0.0007734392,0.9967085,0.00001761669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003816444,0.00001895946,0.00004791392,0.00003387934,0.00001110817,0.000005416597,0.9987254,0.0004233012,0.000695875],"genre_scores_gemma":[0.0001460524,0.00002419556,0.0001942943,0.00003852596,0.000002917118,0.00004100801,0.9988759,0.0001621727,0.0005148327],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8229303,"threshold_uncertainty_score":0.5923573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}