{"id":"W6906050187","doi":"10.15468/dl.phjwcz","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); Order (exchange); Reference data","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":[0.0009100665,0.002134433,0.001648409,0.005080292,0.001049816,0.002735939,0.003140738,0.002168399,0.1443955],"category_scores_gemma":[0.005414596,0.0009063899,0.001255898,0.009391956,0.0004592485,0.002443116,0.00265761,0.002116684,0.2243862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635312,"about_ca_system_score_gemma":0.002334393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028609,"about_ca_topic_score_gemma":0.03373806,"domain_scores_codex":[0.9990185,0.0001335327,0.0001255957,0.0003429557,0.0002160095,0.000163257],"domain_scores_gemma":[0.9979566,0.0005525572,0.0001882434,0.0005647987,0.0004968647,0.0002408358],"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":[0.00002954676,0.00001202269,0.0003365599,0.0005356284,0.00001454337,0.00001609652,0.00002288721,0.0001073502,0.0001144645,0.0003425912,0.9970208,0.001447475],"study_design_scores_gemma":[0.00007153079,0.000008850264,0.001678583,0.0002001769,0.00001591081,0.00004779523,0.00007643967,0.0001766879,0.0002279105,0.0007850043,0.9966924,0.00001865535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000516341,0.00004079179,0.00005351058,0.00004352159,0.00001505502,0.000006498333,0.9985031,0.0005575534,0.0007283141],"genre_scores_gemma":[0.0001586109,0.0000392855,0.0002000604,0.00004633963,0.000003447097,0.00004396269,0.9988641,0.0001600686,0.0004842008],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8556045,"threshold_uncertainty_score":0.4830511,"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."}}