{"id":"W4395621128","doi":"10.15468/dl.2qdnwq","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; Operating system","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":[0.0009620168,0.001986337,0.001599189,0.005367218,0.0009115922,0.00239082,0.002854673,0.00190843,0.1544727],"category_scores_gemma":[0.005773813,0.0008856981,0.001067692,0.01154785,0.0004365726,0.002224123,0.002403283,0.001837886,0.1993096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857565,"about_ca_system_score_gemma":0.002693488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03030681,"about_ca_topic_score_gemma":0.04542641,"domain_scores_codex":[0.9989789,0.0001178401,0.0001374766,0.0003361852,0.0002478386,0.0001819231],"domain_scores_gemma":[0.997698,0.000583991,0.0002316551,0.000549543,0.0006404791,0.0002963236],"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":[0.00003037445,0.00001013726,0.0003485401,0.0005171358,0.00001448928,0.0000149519,0.00002069781,0.0001416785,0.0001078551,0.000398458,0.99701,0.001385599],"study_design_scores_gemma":[0.00007092317,0.000006991846,0.00192801,0.0001706539,0.0000134535,0.0000341581,0.00006255069,0.0001559745,0.0001933655,0.0006903154,0.9966562,0.00001734515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003119129,0.00001942482,0.00003136764,0.00002546108,0.000008531055,0.000003830786,0.9991271,0.0002557082,0.0004974832],"genre_scores_gemma":[0.0001357503,0.00002801256,0.0001387938,0.00003395155,0.000002710342,0.00002955977,0.9991289,0.0001060341,0.0003963799],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8455273,"threshold_uncertainty_score":0.5167627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03129236375289415,"score_gpt":0.1859170822879227,"score_spread":0.1546247185350286,"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."}}