{"id":"W6943437785","doi":"10.15468/dl.zxdwb3","title":"Occurrence Download","year":2015,"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":[0.0008904351,0.002058102,0.001646703,0.005583994,0.001111476,0.002921607,0.003058077,0.002315711,0.165322],"category_scores_gemma":[0.006721687,0.0009811751,0.001358882,0.01117766,0.0004346179,0.00274214,0.002792255,0.002094947,0.2370833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883123,"about_ca_system_score_gemma":0.002622278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02440543,"about_ca_topic_score_gemma":0.03812259,"domain_scores_codex":[0.9988176,0.0001436849,0.0001644822,0.0004051212,0.0002691147,0.0001999664],"domain_scores_gemma":[0.9974241,0.0006831742,0.0002258781,0.0006699936,0.0007177245,0.000279124],"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":[0.00002877351,0.00001076172,0.0003962876,0.0005372433,0.00001416581,0.00001686585,0.0000227371,0.0001122378,0.00009913668,0.0003672992,0.9967775,0.001617048],"study_design_scores_gemma":[0.00006717774,0.000007790186,0.00168496,0.0002077049,0.0000139608,0.00004362801,0.00008235822,0.0001640465,0.0001705788,0.0007356307,0.9968046,0.00001755649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004772086,0.00003575437,0.00004918397,0.00004548452,0.00001391888,0.000005982258,0.9985411,0.0004792324,0.0007815582],"genre_scores_gemma":[0.0001746993,0.00004053177,0.0002014195,0.00004877045,0.00000377325,0.00004092679,0.9988351,0.0001478579,0.0005068464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8346779,"threshold_uncertainty_score":0.5530573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}