{"id":"W3110376195","doi":"10.7202/1071950ar","title":"Labrador Inuttut Inverted Number Marking: Ongoing Questions","year":2019,"lang":"en","type":"article","venue":"Études/Inuit/Studies","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenomenon; Linguistics; Plural; Prima facie; Psychology; History; Epistemology; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002100441,0.0002317518,0.0004888815,0.001166807,0.003322458,0.002982738,0.001589403,0.001068589,0.007815412],"category_scores_gemma":[0.002327913,0.0001368766,0.0001312872,0.001768843,0.008181395,0.006193017,0.001271773,0.0009053973,0.000784608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00357441,"about_ca_system_score_gemma":0.001883741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04046848,"about_ca_topic_score_gemma":0.04769689,"domain_scores_codex":[0.9990821,0.0003358166,0.00005315322,0.0002165373,0.0001093114,0.0002030979],"domain_scores_gemma":[0.9987149,0.000496633,0.0002441005,0.0001852828,0.0002524936,0.0001065664],"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":[0.0002729481,0.0002646589,0.06026136,0.0005399206,0.0000358626,0.001234504,0.1272584,0.0003496127,0.00583706,0.4460221,0.01025574,0.3476679],"study_design_scores_gemma":[0.00002274758,0.0001644575,0.2115864,0.0009568976,0.00004743702,0.002667168,0.3019528,0.001330597,0.005874065,0.1519846,0.3232679,0.0001447417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8147208,0.01670014,0.00267316,0.03699313,0.0002358599,0.00002557052,0.0003049964,0.00008756487,0.1282588],"genre_scores_gemma":[0.9890488,0.00267803,0.0009820203,0.0007743622,0.0001189657,0.00002053174,0.0001133445,0.0000314506,0.006232515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04046848,"threshold_uncertainty_score":0.08046585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0560196846799338,"score_gpt":0.3669808891359881,"score_spread":0.3109612044560543,"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."}}