{"id":"W6905732000","doi":"10.15468/dl.k738md","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.000916763,0.00200964,0.001474436,0.00474372,0.0009591546,0.002387188,0.002614716,0.001887205,0.1605316],"category_scores_gemma":[0.005726333,0.0008871711,0.001193804,0.009425955,0.0004385278,0.002136791,0.002479417,0.00177225,0.22151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412572,"about_ca_system_score_gemma":0.002225903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994742,"about_ca_topic_score_gemma":0.03264963,"domain_scores_codex":[0.9989989,0.0001367581,0.0001254965,0.0003631964,0.0002060964,0.0001694223],"domain_scores_gemma":[0.9976739,0.0006565378,0.0002191967,0.0006031415,0.0005792212,0.0002679678],"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":[0.00003205928,0.000012147,0.0004095423,0.0005100722,0.0000135963,0.00001412774,0.00002103883,0.000129709,0.0001245765,0.0003396311,0.996884,0.001509554],"study_design_scores_gemma":[0.00007787305,0.00001106038,0.001975751,0.0001840865,0.00001479726,0.00003678199,0.00007065554,0.0001600341,0.0002022724,0.0007832866,0.9964648,0.00001844994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004895857,0.00002596386,0.00004153071,0.00003333206,0.000012904,0.000005252094,0.9988235,0.0003751248,0.0006333821],"genre_scores_gemma":[0.0001614304,0.00003178284,0.0001907065,0.0000449904,0.000003688152,0.00004188255,0.9989063,0.0001421162,0.0004770682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8394684,"threshold_uncertainty_score":0.5370318,"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."}}