{"id":"W6924501531","doi":"10.15468/dl.qgqr62","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); Alien; The Internet","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":[0.0009397303,0.001991547,0.001524648,0.004930863,0.001029923,0.002517507,0.002730477,0.002101422,0.1651971],"category_scores_gemma":[0.005882245,0.0008688772,0.001239285,0.009282942,0.0004566033,0.002386051,0.00256299,0.001975571,0.2377913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466735,"about_ca_system_score_gemma":0.002239751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0208334,"about_ca_topic_score_gemma":0.03442433,"domain_scores_codex":[0.9990162,0.00014031,0.0001193209,0.0003487761,0.0002112957,0.0001641649],"domain_scores_gemma":[0.9975043,0.000718131,0.0002137024,0.0006777467,0.0006112691,0.0002747927],"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":[0.00002662012,0.00001162939,0.0003666487,0.0004712027,0.00001205745,0.00001475854,0.00002301241,0.0001180668,0.0001021057,0.0003219704,0.9970754,0.00145646],"study_design_scores_gemma":[0.00006888379,0.000009201048,0.001866643,0.0001931612,0.00001276706,0.00003717732,0.00008560684,0.0001666923,0.0001794656,0.0007591319,0.9966034,0.00001778678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005031738,0.00002916477,0.00004881707,0.00004294239,0.00001499238,0.000006328768,0.9986493,0.0004547343,0.0007033537],"genre_scores_gemma":[0.0001708412,0.00003404015,0.0002180485,0.00004891471,0.000004225171,0.0000472016,0.9988028,0.0001594361,0.0005145184],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8348029,"threshold_uncertainty_score":0.5526394,"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."}}