{"id":"W4224252858","doi":"10.5281/zenodo.6479322","title":"The Mississauga plumbing Case Study You'll Never Forget","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009982869,0.0005205848,0.0004195309,0.0008596232,0.0256493,0.002908854,0.00206007,0.00385797,0.01203088],"category_scores_gemma":[0.002926287,0.0003599435,0.0002387786,0.001832179,0.005362063,0.001516079,0.003150985,0.003034576,0.001239051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01194649,"about_ca_system_score_gemma":0.00669139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4418417,"about_ca_topic_score_gemma":0.7576463,"domain_scores_codex":[0.9980914,0.001103242,0.00003103126,0.0001610391,0.0001793886,0.0004338435],"domain_scores_gemma":[0.9985045,0.0005113115,0.0001430832,0.00009695017,0.0003287025,0.0004154689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001703235,0.0003733006,0.01001374,0.0003685028,0.00002193509,0.06994236,0.812571,0.0004100179,0.002058849,0.03891143,0.03853159,0.02662687],"study_design_scores_gemma":[0.00001036598,0.0001128502,0.007829135,0.0002107383,0.00001028811,0.004071374,0.8446261,0.0001632657,0.0003963088,0.0007787071,0.1417679,0.00002305846],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8334681,0.001654134,0.0009501592,0.01076273,0.0001895607,0.0002165617,0.0002305336,0.00003924791,0.1524889],"genre_scores_gemma":[0.9407108,0.000934912,0.001156987,0.001115435,0.00004079273,0.0001087269,0.00008054861,0.00002996838,0.05582184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5581583,"threshold_uncertainty_score":0.8785397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0639459126076077,"score_gpt":0.2519051955046014,"score_spread":0.1879592828969937,"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."}}