{"id":"W6961909823","doi":"10.15468/dl.sesqzc","title":"Occurrence Download","year":2024,"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; Range (aeronautics); Alien","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":[0.0009395911,0.002061885,0.001595513,0.005340221,0.0009965047,0.00279057,0.002874218,0.001927504,0.1961316],"category_scores_gemma":[0.006276534,0.0009902442,0.00131013,0.01094637,0.0004471893,0.002367317,0.002714831,0.001922375,0.2667927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645601,"about_ca_system_score_gemma":0.002598933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221037,"about_ca_topic_score_gemma":0.03508625,"domain_scores_codex":[0.9988924,0.0001483354,0.0001482395,0.0004005315,0.0002285336,0.0001819785],"domain_scores_gemma":[0.9975915,0.0006646171,0.0002234777,0.0006324591,0.0006278453,0.0002601701],"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":[0.00002894643,0.000009205436,0.0003346117,0.0005695168,0.00001353607,0.00001281947,0.00002232942,0.0001028579,0.00009946118,0.00037897,0.9968922,0.001535575],"study_design_scores_gemma":[0.00005860945,0.000006980608,0.001320446,0.0001665439,0.00001335461,0.00002997185,0.00005863852,0.0001119127,0.0001591578,0.0007339268,0.9973247,0.00001582922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003365492,0.00002796924,0.00004370236,0.00003255591,0.00001143297,0.000004891284,0.9987329,0.000406927,0.0007060698],"genre_scores_gemma":[0.0001547997,0.00004301473,0.0002283126,0.00005006499,0.000003720445,0.00004570618,0.9986426,0.0001952502,0.0006365168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8038684,"threshold_uncertainty_score":0.6561257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}