{"id":"W6924502818","doi":"10.15468/dl.rbc663","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); Data set; Set (abstract data type)","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":[0.0009430355,0.001947639,0.001589952,0.004798115,0.0009888107,0.002548316,0.002787873,0.002019067,0.1661247],"category_scores_gemma":[0.005675745,0.0009094064,0.001112402,0.009632074,0.0004500442,0.00247319,0.002617432,0.002012108,0.2345934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520613,"about_ca_system_score_gemma":0.002258455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02018862,"about_ca_topic_score_gemma":0.03691123,"domain_scores_codex":[0.9990067,0.0001403646,0.0001189835,0.0003604905,0.0002130464,0.0001604975],"domain_scores_gemma":[0.997554,0.0006764786,0.0002292271,0.0006659222,0.0005870931,0.0002871926],"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":[0.00002620531,0.00001049527,0.0003389355,0.0005037797,0.00001327804,0.0000137575,0.00002362635,0.0001155772,0.0001035978,0.0003789604,0.9971551,0.001316715],"study_design_scores_gemma":[0.00006306206,0.000006784259,0.001532918,0.0001645955,0.00001150014,0.00003065346,0.00006610857,0.0001256929,0.0001565847,0.0008024146,0.9970235,0.00001625713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003818882,0.00002474907,0.00004515309,0.00003370357,0.00001117213,0.000004933612,0.9987889,0.0003784117,0.0006747365],"genre_scores_gemma":[0.0001610829,0.00003262125,0.000213036,0.00004551919,0.00000349187,0.00004197557,0.9988218,0.0001678968,0.0005125332],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8338753,"threshold_uncertainty_score":0.5557425,"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."}}