{"id":"W6962690887","doi":"10.15468/dl.uesfjv","title":"Occurrence Download","year":2019,"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); Data set; 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":[0.0009709552,0.001955684,0.001688348,0.005453233,0.0009846002,0.002570121,0.002824364,0.002001577,0.1581833],"category_scores_gemma":[0.005363512,0.0008832937,0.001123906,0.01045032,0.0004551783,0.00220654,0.002616314,0.002047342,0.2328091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527252,"about_ca_system_score_gemma":0.002262212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01870872,"about_ca_topic_score_gemma":0.03330036,"domain_scores_codex":[0.999024,0.000127502,0.0001268347,0.0003421815,0.0002170748,0.0001622931],"domain_scores_gemma":[0.9978091,0.0005848135,0.0002227756,0.0005717,0.0005527546,0.0002588134],"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":[0.00002886291,0.00001120991,0.0003985685,0.0006376617,0.00001663738,0.00001598363,0.00002720674,0.0001335108,0.0001438232,0.0004382189,0.996472,0.001676309],"study_design_scores_gemma":[0.00005939335,0.000006610228,0.00165039,0.0001836132,0.00001340171,0.00003375065,0.00006658467,0.0001154647,0.0001701313,0.0007054309,0.9969794,0.00001599191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003917351,0.00003088512,0.00004538741,0.00002915971,0.00001142524,0.000004724662,0.9988924,0.000320646,0.0006262179],"genre_scores_gemma":[0.0001471416,0.00003606383,0.0002033674,0.00003836453,0.000003233933,0.00003784994,0.9989476,0.0001365762,0.0004498606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8418167,"threshold_uncertainty_score":0.529176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}