{"id":"W3213348557","doi":"10.5281/zenodo.5511680","title":"JASPAR TFBS LOLA databases - Part 2","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","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":[0.001206434,0.00265765,0.002053721,0.004496836,0.001115035,0.00236361,0.003716369,0.002159617,0.06742663],"category_scores_gemma":[0.00372217,0.0008804662,0.00152171,0.005580711,0.0004539007,0.001709176,0.001957029,0.00210907,0.1293734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110411,"about_ca_system_score_gemma":0.00191938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00923153,"about_ca_topic_score_gemma":0.01333893,"domain_scores_codex":[0.9987913,0.0002076896,0.0001606625,0.0004226789,0.0002680633,0.0001497223],"domain_scores_gemma":[0.9984319,0.0003163914,0.0001312963,0.0005131486,0.0004075515,0.0001997992],"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":[0.0002392937,0.00005810801,0.0006181633,0.001378538,0.00006392295,0.00007560854,0.00003862579,0.0004691014,0.002890762,0.0009681982,0.9867592,0.006440423],"study_design_scores_gemma":[0.0002338029,0.00004933224,0.00278294,0.0001996783,0.00007422701,0.000358579,0.00006107267,0.001346156,0.003641003,0.001661713,0.9895319,0.00005957583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006256472,0.0004412096,0.001063235,0.0001177168,0.00005766041,0.00004178274,0.989269,0.006534189,0.001849542],"genre_scores_gemma":[0.0005463738,0.0001101449,0.001082302,0.00008279361,0.000009763573,0.0001070722,0.9969432,0.0004282553,0.0006901115],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06742663,"threshold_uncertainty_score":0.2255645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08013036298621179,"score_gpt":0.3255957735984522,"score_spread":0.2454654106122404,"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."}}