{"id":"W4393753326","doi":"10.5281/zenodo.5576626","title":"Chrome Testing Dataset","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001267197,0.003740494,0.001492709,0.004229408,0.001074781,0.002311355,0.004168461,0.003504999,0.02605794],"category_scores_gemma":[0.007299204,0.0005926108,0.001525875,0.004533194,0.0006408246,0.001428078,0.001718369,0.002196654,0.03829142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592625,"about_ca_system_score_gemma":0.00175453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02139891,"about_ca_topic_score_gemma":0.04109713,"domain_scores_codex":[0.997647,0.0003577326,0.0002507041,0.000653517,0.0008272048,0.0002638958],"domain_scores_gemma":[0.9966245,0.001030498,0.0002289727,0.0008356534,0.0009940476,0.0002864244],"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":[0.0002281404,0.000212346,0.002714646,0.0009368186,0.00009912343,0.0002002977,0.00002799915,0.001906564,0.0005962131,0.0006321566,0.979435,0.01301071],"study_design_scores_gemma":[0.0006961683,0.0002700983,0.01691756,0.0005354643,0.0001624461,0.001010712,0.0001573629,0.01125435,0.004032985,0.002750207,0.9620868,0.0001257949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004469015,0.0009227819,0.0009273097,0.0002709146,0.0001748881,0.0001126819,0.9855204,0.003208671,0.004393431],"genre_scores_gemma":[0.002251676,0.0001047185,0.0007367264,0.00009713996,0.00001685705,0.00008553397,0.9956495,0.0001098518,0.0009479881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02605794,"threshold_uncertainty_score":0.08717245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05828754446993804,"score_gpt":0.264931936492018,"score_spread":0.20664439202208,"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."}}