{"id":"W2252430262","doi":"10.1353/dic.2015.0005","title":"Aaron’s Rod to Zur: Digitizing the Card Collection of the Dictionary of Newfoundland English","year":2015,"lang":"en","type":"article","venue":"Dictionaries","topic":"Philippine History and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digitization; Word (group theory); Computer science; Library science; Data collection; Process (computing); History; World Wide Web; Linguistics; Sociology; Telecommunications","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":[0.003160255,0.0003177813,0.0003358167,0.01001929,0.005992718,0.003764604,0.0008352296,0.00034495,0.02265574],"category_scores_gemma":[0.01072435,0.0004357074,0.0001473451,0.01465559,0.002351378,0.002256531,0.002514692,0.001245715,0.005360448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01233416,"about_ca_system_score_gemma":0.02863955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6900386,"about_ca_topic_score_gemma":0.8895044,"domain_scores_codex":[0.9983922,0.0003625013,0.0002137181,0.0002149097,0.0005742933,0.0002424019],"domain_scores_gemma":[0.9916844,0.001397321,0.0005060477,0.001376805,0.00447946,0.0005557974],"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":[0.00008189653,0.00003219556,0.009597172,0.0006340404,0.0000120027,0.0004392257,0.03777746,0.0002056893,0.002967774,0.01221847,0.5671813,0.3688527],"study_design_scores_gemma":[0.000004363219,0.000009533502,0.0247068,0.0002860596,0.000007290625,0.0001265783,0.006926401,0.00006627863,0.0008124435,0.0003318709,0.9666957,0.00002667609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1785103,0.009564289,0.03065949,0.01479843,0.003763928,0.004816095,0.1930699,0.003573774,0.5612439],"genre_scores_gemma":[0.2302493,0.008130494,0.1146533,0.002691265,0.0004002351,0.003111145,0.08195086,0.003123378,0.55569],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3099614,"threshold_uncertainty_score":0.6235737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694807582019877,"score_gpt":0.2569328470584875,"score_spread":0.2299847712382888,"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."}}