{"id":"W6887140800","doi":"10.15468/dl.u45mqw","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); Confidentiality; 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":[0.001025851,0.001956629,0.001505338,0.005014575,0.001013954,0.00247793,0.002870083,0.002092366,0.1490242],"category_scores_gemma":[0.005809286,0.0008879077,0.00114737,0.009559133,0.0004693707,0.002300603,0.002520727,0.00207701,0.2024746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579435,"about_ca_system_score_gemma":0.002267603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209111,"about_ca_topic_score_gemma":0.0356182,"domain_scores_codex":[0.9989667,0.0001485438,0.0001285184,0.0003553907,0.000227466,0.0001734809],"domain_scores_gemma":[0.9974638,0.0007228542,0.0002430569,0.0006859623,0.0005937041,0.0002906332],"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":[0.00002771119,0.00001236903,0.000390093,0.0004917296,0.000014216,0.00001479112,0.00002435242,0.000137443,0.0001127935,0.0003941885,0.997009,0.001371292],"study_design_scores_gemma":[0.00007198191,0.00000816144,0.001862577,0.0001830452,0.0000133465,0.00003768852,0.00007922112,0.0001634911,0.0001862202,0.000801422,0.9965749,0.0000179055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004754933,0.00002639751,0.00004803372,0.00003698522,0.0000132896,0.000005385073,0.9988202,0.0003634802,0.0006386854],"genre_scores_gemma":[0.0001673642,0.00003014094,0.0002067677,0.0000424991,0.000003605928,0.00004309547,0.9989067,0.0001403567,0.0004594613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8509758,"threshold_uncertainty_score":0.4985358,"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."}}