{"id":"W6943351349","doi":"10.15468/dl.nyy493","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); Order (exchange); Data set","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":[0.001113775,0.001945838,0.001667197,0.005599183,0.001020446,0.002873185,0.002816762,0.002015834,0.1745465],"category_scores_gemma":[0.006704279,0.00100121,0.001146055,0.01099568,0.0004553743,0.002431831,0.002662804,0.002028149,0.2340696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640629,"about_ca_system_score_gemma":0.002464433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02181054,"about_ca_topic_score_gemma":0.03481797,"domain_scores_codex":[0.9988465,0.0001542609,0.000157608,0.0004028608,0.0002510891,0.000187587],"domain_scores_gemma":[0.997197,0.0008293969,0.0002758382,0.0007072092,0.0006749936,0.0003156013],"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":[0.00002808118,0.000009606694,0.0003648511,0.0005647412,0.00001496492,0.00001489426,0.00002516701,0.0001117161,0.0001090774,0.0004056616,0.9970449,0.001306296],"study_design_scores_gemma":[0.00006653867,0.000006863241,0.001719367,0.0002009593,0.00001442129,0.00003570165,0.00007229768,0.000122062,0.0001615183,0.0007413015,0.9968418,0.00001730258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003185271,0.00002252543,0.00004043172,0.00003047676,0.00001029428,0.000004191956,0.998987,0.0003070313,0.0005661789],"genre_scores_gemma":[0.000145338,0.00003357464,0.000185149,0.0000423592,0.000003425113,0.00003815086,0.9989396,0.0001596865,0.0004527706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8254535,"threshold_uncertainty_score":0.5839163,"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."}}