{"id":"W6943251793","doi":"10.15468/dl.mphupn","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); 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":[0.0009409551,0.001964951,0.001551894,0.004613985,0.0009542515,0.002599935,0.002789168,0.002201908,0.1387831],"category_scores_gemma":[0.005901902,0.000840895,0.001184925,0.009106298,0.0004417053,0.002040741,0.002371502,0.002011747,0.2018793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563163,"about_ca_system_score_gemma":0.002281792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01939593,"about_ca_topic_score_gemma":0.0321347,"domain_scores_codex":[0.9990452,0.0001346967,0.0001211127,0.0003462105,0.0002025782,0.0001501267],"domain_scores_gemma":[0.9977511,0.0007034342,0.0002184044,0.0005481829,0.0005157885,0.0002631628],"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":[0.00003464002,0.00001414301,0.0004798005,0.0006492778,0.00001757519,0.00001845064,0.00002471353,0.0001663252,0.0001199417,0.0004164955,0.9965274,0.001531237],"study_design_scores_gemma":[0.00009211694,0.000009628447,0.001961871,0.0002102281,0.00001650026,0.00003818132,0.00007381524,0.0002050529,0.0001874037,0.0008897804,0.9962974,0.00001789227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004603197,0.00002960119,0.00004136788,0.0000374218,0.0000109884,0.000005465189,0.9989071,0.000341343,0.0005807652],"genre_scores_gemma":[0.000173358,0.00003766094,0.0001984324,0.00004856395,0.000003542457,0.00004609226,0.9989265,0.0001227902,0.0004432043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8612169,"threshold_uncertainty_score":0.4642757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383425739114906,"score_gpt":0.1961866182594779,"score_spread":0.1823523608683289,"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."}}