{"id":"W7084670687","doi":"10.5281/zenodo.17273192","title":"filips123/PWAsForFirefox: PWAsForFirefox 2.17.1","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Workflow; Troubleshooting; Process (computing); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006056207,0.002360016,0.001559381,0.006063686,0.001355482,0.007092358,0.003006916,0.002416416,0.825971],"category_scores_gemma":[0.03417392,0.001993334,0.001553331,0.007280292,0.0006846305,0.0052313,0.004147108,0.001898174,0.8223186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006003,"about_ca_system_score_gemma":0.003029682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009179726,"about_ca_topic_score_gemma":0.0083065,"domain_scores_codex":[0.9966341,0.0008942296,0.0003074243,0.0004472897,0.00123235,0.0004845632],"domain_scores_gemma":[0.9832356,0.00571927,0.0008159291,0.003923581,0.005097104,0.001208522],"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":[0.00006296228,0.00001020483,0.0001126562,0.0001673145,0.0000058276,0.000009130626,0.00004844434,0.00003914643,0.00008479493,0.000883369,0.9864314,0.01214473],"study_design_scores_gemma":[0.00006289221,0.00001724796,0.0007168184,0.0001585441,0.000007132031,0.00003765245,0.00005685437,0.0001339512,0.0005998917,0.001968344,0.9962091,0.00003147475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0007868364,0.0003173303,0.01718105,0.00232469,0.001421884,0.0007484354,0.5484145,0.1663701,0.2624352],"genre_scores_gemma":[0.006080198,0.0004877949,0.01658768,0.001463947,0.0005400589,0.002406665,0.4296736,0.2369068,0.3058532],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.825971,"threshold_uncertainty_score":0.2482312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1484596408815126,"score_gpt":0.3811183716127084,"score_spread":0.2326587307311958,"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."}}