{"id":"W650980344","doi":"","title":"One House Leads to Another: By the Numbers: Infographic","year":2015,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Infographic; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003833181,0.0002201442,0.000409079,0.0001590988,0.0003210785,0.0001072246,0.0004445004,0.00002971204,0.007378387],"category_scores_gemma":[0.00003987422,0.0001754344,0.0001742363,0.0002466842,0.0002816381,0.0002240243,0.00001992704,0.0001628259,0.002325387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000495414,"about_ca_system_score_gemma":0.0002916344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3358337,"about_ca_topic_score_gemma":0.8959873,"domain_scores_codex":[0.9985225,0.0001717311,0.0003419179,0.0002787759,0.000281008,0.0004040502],"domain_scores_gemma":[0.9985346,0.00002381648,0.0001005055,0.0005709719,0.0001270315,0.0006431277],"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":[0.000002747851,0.00001885289,0.0004601314,0.00009351718,0.00008194433,0.000005677617,0.004986516,5.250963e-7,0.000003143125,0.0004383034,0.9845202,0.00938844],"study_design_scores_gemma":[0.0001221207,0.00008400319,0.00001590039,0.000410183,0.0001893696,0.000001733519,0.002178658,7.336541e-7,0.000007137568,0.00005633285,0.9966872,0.0002466451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.02123947,0.7152132,0.00001142758,0.1059758,0.001553059,0.003044707,0.0008820582,0.000248914,0.1518313],"genre_scores_gemma":[0.3125466,0.03110233,0.0001459287,0.5912328,0.001914663,0.0006230315,0.0004038663,0.0002891279,0.06174165],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6841109,"threshold_uncertainty_score":0.9984514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07296805321563675,"score_gpt":0.2522110071035817,"score_spread":0.1792429538879449,"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."}}