{"id":"W4394051810","doi":"10.5281/zenodo.6637598","title":"Tallo database","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Regina; University of British Columbia; Queen's University; University of Toronto","funders":"UK Research and Innovation","keywords":"Database; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001112964,0.001630717,0.001403051,0.003481397,0.0009299784,0.002328832,0.00273964,0.001782072,0.05293127],"category_scores_gemma":[0.004847742,0.000478427,0.001215198,0.005930271,0.0004053023,0.001501077,0.001874416,0.001589249,0.09114499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103023,"about_ca_system_score_gemma":0.002318813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101198,"about_ca_topic_score_gemma":0.02262421,"domain_scores_codex":[0.9987349,0.0002021118,0.0002266722,0.0004198567,0.0002660916,0.0001503327],"domain_scores_gemma":[0.9986126,0.0003166685,0.000163798,0.0003477838,0.0004294358,0.0001296782],"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":[0.0001205602,0.00003298504,0.001119819,0.00128677,0.00005455253,0.00005315548,0.0000385457,0.0005316656,0.0003372238,0.001372516,0.9904592,0.004593122],"study_design_scores_gemma":[0.0001541865,0.00001755785,0.002840411,0.0002366811,0.00003483776,0.00006463654,0.00006773006,0.0004768571,0.0002981814,0.001647342,0.9941331,0.00002842247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002158346,0.00009726117,0.0001490834,0.00005496777,0.00001717279,0.00001590474,0.9982353,0.0004163198,0.0007980982],"genre_scores_gemma":[0.0002848511,0.00005599975,0.0003825416,0.00003550807,0.000004842219,0.00006945011,0.9987094,0.00007381527,0.0003835943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05293127,"threshold_uncertainty_score":0.1770727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03699770119903371,"score_gpt":0.2747431573120879,"score_spread":0.2377454561130541,"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."}}