{"id":"W6887201415","doi":"10.15468/dl.tfpuww","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); The Internet; Alien","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":[0.0009759324,0.001922696,0.001550752,0.004861037,0.001016589,0.002567996,0.00267684,0.002093307,0.1646241],"category_scores_gemma":[0.006198806,0.0008746315,0.001237992,0.009133968,0.0004371621,0.002388906,0.002547257,0.001945401,0.2239626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543,"about_ca_system_score_gemma":0.002316765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02191078,"about_ca_topic_score_gemma":0.03452567,"domain_scores_codex":[0.9989823,0.0001431355,0.000127816,0.0003574171,0.0002201915,0.0001691673],"domain_scores_gemma":[0.9973928,0.0007940824,0.0002226879,0.0006680782,0.000645924,0.0002763684],"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":[0.00002817782,0.00001182396,0.0003979696,0.0005459322,0.00001357536,0.00001568523,0.00002359391,0.000120169,0.0001137441,0.0003494944,0.9969016,0.001478234],"study_design_scores_gemma":[0.00007006944,0.000009144568,0.001965645,0.0002189648,0.00001439087,0.00003874354,0.00008314858,0.0001691745,0.0001928979,0.0007781528,0.9964414,0.00001824521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004577502,0.00002874412,0.00004646515,0.00004132507,0.00001355865,0.000006039321,0.9987473,0.0004279203,0.0006428343],"genre_scores_gemma":[0.0001726663,0.00003607363,0.000212882,0.00005157787,0.000004073025,0.00004678164,0.9988301,0.000159176,0.0004865787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.835376,"threshold_uncertainty_score":0.5507223,"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."}}