{"id":"W6924465992","doi":"10.15468/dl.tx3896","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.0008677321,0.0026629,0.002132232,0.005883717,0.001745939,0.005164014,0.003423919,0.002866852,0.465409],"category_scores_gemma":[0.007510154,0.001119483,0.001744146,0.008912154,0.000454746,0.005312908,0.004919603,0.002349137,0.6035085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744737,"about_ca_system_score_gemma":0.002295672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01963408,"about_ca_topic_score_gemma":0.03738514,"domain_scores_codex":[0.9988299,0.0001275291,0.0001463315,0.0003937184,0.0002977598,0.0002047469],"domain_scores_gemma":[0.9969884,0.0006727114,0.0002004313,0.0006621947,0.00104733,0.0004290277],"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":[0.00003678547,0.00001034872,0.0002295979,0.0004386196,0.00000814075,0.00002161142,0.00002310752,0.00005394028,0.00006902988,0.000398631,0.9951801,0.003530028],"study_design_scores_gemma":[0.00003967683,0.000008897619,0.0007932422,0.0001808183,0.000009470292,0.00004767886,0.00006831237,0.0001415877,0.000123651,0.001238895,0.9973291,0.000018674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007885777,0.0001158597,0.0002604704,0.0001472379,0.00005824459,0.00002099839,0.9874611,0.004415466,0.007441743],"genre_scores_gemma":[0.0004262885,0.0001498838,0.0008428387,0.0002573456,0.00002558284,0.00008016414,0.9917076,0.001704458,0.004805899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5345911,"threshold_uncertainty_score":0.7625293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787181443947391,"score_gpt":0.2474956887657796,"score_spread":0.2296238743263057,"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."}}