{"id":"W6924581559","doi":"10.15468/dl.ycv5fw","title":"Occurrence Download","year":2023,"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); Alien; 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":[0.001034017,0.001871968,0.001564521,0.0048499,0.001102873,0.002567233,0.002797859,0.002141911,0.1617158],"category_scores_gemma":[0.006381586,0.0008984777,0.001273609,0.009509052,0.0004733088,0.002507492,0.00269531,0.00208718,0.2288333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609269,"about_ca_system_score_gemma":0.002509099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02261044,"about_ca_topic_score_gemma":0.03898063,"domain_scores_codex":[0.9988756,0.0001616956,0.0001349419,0.000394383,0.0002522143,0.0001812577],"domain_scores_gemma":[0.997162,0.0008176254,0.0002366912,0.000782388,0.0006994267,0.0003019],"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":[0.00002788413,0.00001162931,0.0003510598,0.0005052428,0.00001252597,0.00001415277,0.00002404494,0.0001057844,0.0001079911,0.0003548581,0.9971106,0.001374289],"study_design_scores_gemma":[0.00006413503,0.000008565972,0.001761546,0.0001932832,0.00001260016,0.00003434525,0.00007804909,0.0001330833,0.0001764266,0.0007540616,0.9967669,0.00001695369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000476036,0.00003004894,0.00004704684,0.00004470912,0.0000143847,0.000006430409,0.9986107,0.0004460512,0.0007529369],"genre_scores_gemma":[0.0001667675,0.00003536715,0.0002131261,0.00005278552,0.000003844411,0.00004657391,0.9987764,0.0001684603,0.0005367727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382841,"threshold_uncertainty_score":0.5409933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}