{"id":"W3183099688","doi":"10.33137/twpl.v43i1.35953","title":"Un regard sur le français inclusif canadien dans une journée de Twitter","year":2021,"lang":"en","type":"article","venue":"Toronto Working Papers in Linguistics","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Agreement; Context (archaeology); French; Variation (astronomy); Social media; Set (abstract data type); Microblogging; History; Computer science; Linguistics; Humanities; Art; Physics; World Wide Web; Philosophy; Astrophysics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002994828,0.0002495962,0.0003712265,0.0000571695,0.0005449531,0.0002555012,0.0002722896,0.0001011895,0.001574209],"category_scores_gemma":[0.001349135,0.0002543585,0.0001561767,0.00007833649,0.000167772,0.00001959063,0.0001281508,0.0002610154,0.00001133631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004770891,"about_ca_system_score_gemma":0.0003888182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2355014,"about_ca_topic_score_gemma":0.7855484,"domain_scores_codex":[0.9982756,0.00007864925,0.0004441731,0.0003600974,0.000285294,0.0005561459],"domain_scores_gemma":[0.9988229,0.0001487587,0.0001281471,0.0004094622,0.0003171781,0.0001736114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004021467,0.0003982207,0.03789363,0.0000689271,0.0004240227,0.002050754,0.2134231,0.0008000852,0.0001026149,0.7348033,0.005250502,0.004744688],"study_design_scores_gemma":[0.0006139929,0.00002794261,0.00189088,0.0001814473,0.0001915335,0.000006876557,0.01663214,0.0008644626,0.00009220754,0.00344769,0.9755794,0.0004713911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0179214,0.002026948,0.00003115137,0.0002922094,0.002033496,0.00006325892,0.00001854701,0.00005809372,0.9775549],"genre_scores_gemma":[0.9807796,0.0001318371,0.001075071,0.0007703058,0.005847909,0.000007372568,0.0000377278,0.00005104998,0.01129905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9703289,"threshold_uncertainty_score":0.9999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380394718183402,"score_gpt":0.2393158327661478,"score_spread":0.2155118855843138,"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."}}