{"id":"W4396292978","doi":"10.15468/dl.gbberw","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Geography; Computer science; World Wide Web","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":[0.0008156357,0.002253766,0.001650925,0.004953522,0.0009758975,0.002443769,0.003025044,0.002189731,0.1152561],"category_scores_gemma":[0.004566528,0.0008194861,0.001242713,0.008990534,0.0004490279,0.002380272,0.002489616,0.002074,0.2008367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505002,"about_ca_system_score_gemma":0.00205598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023701,"about_ca_topic_score_gemma":0.03588111,"domain_scores_codex":[0.9990164,0.0001259818,0.0001241393,0.0003227017,0.0002437121,0.0001671545],"domain_scores_gemma":[0.9981987,0.0004260656,0.0001564011,0.0005103273,0.0004920873,0.0002165214],"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":[0.00002784111,0.00001476177,0.0003688905,0.0004400952,0.00001507402,0.00001820554,0.00002060198,0.000152069,0.0001141092,0.0003417828,0.9968803,0.001606369],"study_design_scores_gemma":[0.00007078406,0.000008775522,0.00171602,0.0001505423,0.00001344923,0.00004620296,0.00007295789,0.0002586431,0.0002135397,0.0007197902,0.9967124,0.00001697553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006943084,0.00004057806,0.00006357281,0.00004049795,0.0000162469,0.000007163511,0.9984474,0.0005940085,0.0007211982],"genre_scores_gemma":[0.0001554128,0.00003126928,0.0001873589,0.00003147992,0.000003211573,0.00003065556,0.9990914,0.0001159671,0.0003532995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8847439,"threshold_uncertainty_score":0.3855702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484481337130455,"score_gpt":0.2284793506544914,"score_spread":0.2136345372831868,"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."}}