{"id":"W6969084981","doi":"10.5683/sp3/y5czvy","title":"Read_Me Gess 2006 Maillardville corpus Word List 1","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Word (group theory); Word list; Corpus linguistics; Word processing","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":[0.001218251,0.00414326,0.002144405,0.0072073,0.001403363,0.002511986,0.002751234,0.002763352,0.2080451],"category_scores_gemma":[0.005851236,0.001292544,0.001475552,0.007460788,0.0007713796,0.002434659,0.002935552,0.002532681,0.337225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158618,"about_ca_system_score_gemma":0.002627715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01869859,"about_ca_topic_score_gemma":0.03477263,"domain_scores_codex":[0.998386,0.0002699472,0.0002523137,0.0004612617,0.0004092566,0.0002211567],"domain_scores_gemma":[0.9970325,0.0006737151,0.0001943713,0.0006635308,0.001121381,0.0003145281],"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":[0.00004400472,0.00002241839,0.00009860609,0.0003371793,0.000007008057,0.00001513664,0.00002968583,0.0000521522,0.0002427893,0.0001504609,0.9970216,0.001978848],"study_design_scores_gemma":[0.0004022091,0.00004421978,0.002517162,0.0001929798,0.00002766301,0.000103662,0.0002621279,0.0004562836,0.00114738,0.0008021411,0.9939818,0.00006243832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002014494,0.00004755976,0.0001307289,0.00005782905,0.00006199603,0.00003723806,0.9967222,0.001187069,0.001553967],"genre_scores_gemma":[0.0002178485,0.00002363086,0.0004914661,0.00003627794,0.000009027848,0.0001435873,0.9973616,0.0003291429,0.00138738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2080451,"threshold_uncertainty_score":0.6959801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669748485992586,"score_gpt":0.2393405105893056,"score_spread":0.2226430257293797,"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."}}