{"id":"W6924565628","doi":"10.15468/dl.k1umdd","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Asymmetric Hydrogenation and Catalysis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extant taxon; Geodetic datum; Download; Matching (statistics); Field (mathematics)","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":["insufficient_payload"],"category_scores_codex":[0.0006544474,0.002219528,0.001772046,0.006044854,0.001342939,0.003902426,0.002508465,0.002291544,0.3334993],"category_scores_gemma":[0.005736926,0.0008940133,0.001558361,0.009576855,0.0003717912,0.003997993,0.003378611,0.002208439,0.4761197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001414861,"about_ca_system_score_gemma":0.002179445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01522122,"about_ca_topic_score_gemma":0.03020656,"domain_scores_codex":[0.9989328,0.0001250111,0.0001412133,0.0003961559,0.0002294993,0.0001752917],"domain_scores_gemma":[0.9978554,0.0005046564,0.000159598,0.0005479579,0.0006250203,0.0003073487],"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":[0.00003665743,0.00001173293,0.0002972489,0.0004792875,0.00001051338,0.00002130066,0.00002022399,0.0000799821,0.0001012499,0.0003806637,0.9955643,0.002996834],"study_design_scores_gemma":[0.00004149054,0.000009488258,0.0009076077,0.0001365049,0.00001047616,0.00004553252,0.000071459,0.0001683541,0.0001371642,0.0008676086,0.9975892,0.00001507176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009174669,0.0001128427,0.0001354606,0.0001044211,0.00004756085,0.00001411296,0.9938584,0.001804132,0.003831318],"genre_scores_gemma":[0.0003334933,0.0001034698,0.0004557596,0.0001293901,0.0000143662,0.00004816134,0.9960485,0.0004790365,0.002387833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6665007,"threshold_uncertainty_score":0.9506824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146121932949718,"score_gpt":0.216758354852873,"score_spread":0.2052971355233759,"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."}}