{"id":"W4393476016","doi":"10.5281/zenodo.10247175","title":"StreamMapper Membership Tables for GD-1 and Pal 5","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00591789,0.0002562724,0.0003707779,0.0006308729,0.002105225,0.003662909,0.00297556,0.0001657129,0.0162716],"category_scores_gemma":[0.008811291,0.0002300832,0.00009620388,0.0008705136,0.000267165,0.0003967805,0.004257666,0.0003115045,0.04288734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007949587,"about_ca_system_score_gemma":0.000007447876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001791153,"about_ca_topic_score_gemma":0.00002951757,"domain_scores_codex":[0.9959245,0.0006335531,0.0006199967,0.001008909,0.001303645,0.0005094386],"domain_scores_gemma":[0.9970067,0.0004461719,0.0003070068,0.001310233,0.0006778246,0.0002520732],"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":[0.00005307809,0.00006086375,1.475556e-7,0.0001546778,0.00005048892,0.00001049306,0.0001246333,0.000007430364,0.000006726239,0.001966853,0.9589745,0.03859014],"study_design_scores_gemma":[0.0004038952,0.0001667044,0.00002775364,0.00003540481,0.00004404012,0.00001311048,0.0008852513,0.00005883015,0.000006082314,0.002840375,0.9952595,0.0002590942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000283105,0.00005937218,0.0008066435,0.001383847,0.0003178325,0.0007667858,0.9914376,0.0003060585,0.004893553],"genre_scores_gemma":[0.00009404046,0.0002426569,0.0001298527,0.0003123058,0.0002671556,2.155099e-7,0.9919683,0.0007118613,0.006273665],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03833104,"threshold_uncertainty_score":0.9995379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2319124098041054,"score_gpt":0.3766317142646174,"score_spread":0.144719304460512,"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."}}