{"id":"W7057979982","doi":"","title":"LINGUIST List Resources for Quebec Sign Language","year":2021,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Listing (finance); Sign language; Language interpretation; Natural language; Sign (mathematics); Linguistic analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005885151,0.0008872392,0.0008966809,0.00460425,0.004044438,0.002816189,0.001124461,0.0007436777,0.7443141],"category_scores_gemma":[0.003097882,0.0004539384,0.0003642157,0.006113993,0.0006189381,0.002348925,0.001313568,0.001152156,0.4328562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007874531,"about_ca_system_score_gemma":0.01611784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.849041,"about_ca_topic_score_gemma":0.907912,"domain_scores_codex":[0.9993563,0.00005011008,0.00003245387,0.00005916654,0.0003835842,0.0001184012],"domain_scores_gemma":[0.9966308,0.0002061826,0.00006646353,0.0001746404,0.00260573,0.0003161748],"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":[0.00001681508,0.000006759343,0.0002552075,0.00008450546,0.000001363047,0.00003361068,0.0001057131,0.0000206661,0.0001588487,0.001417525,0.9779742,0.01992485],"study_design_scores_gemma":[0.000006800306,0.000004857087,0.001540075,0.00006974793,0.000003824031,0.00005117112,0.0002997406,0.0001317416,0.0002221488,0.0003977004,0.9972492,0.00002296568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002477753,0.001064529,0.002305881,0.001887024,0.0008540293,0.0002238332,0.2157374,0.008674444,0.766775],"genre_scores_gemma":[0.0126049,0.001132686,0.004008146,0.0007200891,0.0001186472,0.0002251391,0.09332422,0.003714435,0.8841518],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7443141,"threshold_uncertainty_score":0.3647048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005930812160956404,"score_gpt":0.2432017174793362,"score_spread":0.2372709053183798,"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."}}