{"id":"W6905886891","doi":"10.15468/dl.pamf3x","title":"Occurrence Download","year":2018,"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); Confidentiality; 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":[0.00105672,0.002105277,0.001690107,0.005332433,0.0009769817,0.002735036,0.003184225,0.002160077,0.1399344],"category_scores_gemma":[0.006188551,0.0009094952,0.001229798,0.01044148,0.0004637117,0.002397584,0.002634808,0.002107697,0.2149208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658765,"about_ca_system_score_gemma":0.002401236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045272,"about_ca_topic_score_gemma":0.03277394,"domain_scores_codex":[0.9988624,0.0001519329,0.0001502588,0.0003979648,0.0002484391,0.0001890193],"domain_scores_gemma":[0.9974399,0.0006893836,0.0002562181,0.0006931551,0.0006220298,0.0002994062],"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":[0.00002904772,0.00001200097,0.0003933555,0.0005173042,0.00001628701,0.00001505343,0.00002337832,0.000135771,0.0001037732,0.000382675,0.9970174,0.001353902],"study_design_scores_gemma":[0.00007717811,0.000008479443,0.001833201,0.0001891796,0.00001531422,0.00003822081,0.00007279346,0.0001816124,0.0001856754,0.0007983019,0.9965823,0.00001775081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004232466,0.00002927396,0.00004458496,0.00003600766,0.00001222773,0.000005073472,0.9988698,0.0003982578,0.0005625392],"genre_scores_gemma":[0.0001426254,0.00003057191,0.0001660454,0.00003599566,0.0000031464,0.00003370295,0.9991048,0.0001192469,0.0003638433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8600656,"threshold_uncertainty_score":0.4681273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}