{"id":"W2165097333","doi":"","title":"Towards a grammar of Innu-aimun particles","year":2007,"lang":"en","type":"article","venue":"Memorial University Research Repository (Memorial University)","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Linguistics; Generative grammar; Locative case; Grammar; Noun; Variety (cybernetics); Focus (optics); Part of speech; Grammaticalization; History; Computer science; Artificial intelligence; Philosophy; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008544709,0.0003796736,0.0003152821,0.001139555,0.002483188,0.003406921,0.00102073,0.000599283,0.002428935],"category_scores_gemma":[0.001117557,0.0005081572,0.0006155772,0.001115085,0.006716143,0.001929743,0.001136672,0.0014117,0.0003658665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01030882,"about_ca_system_score_gemma":0.004904698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3130993,"about_ca_topic_score_gemma":0.3508157,"domain_scores_codex":[0.9994701,0.0001883164,0.00002833144,0.00009047568,0.0001388291,0.00008395969],"domain_scores_gemma":[0.9993628,0.0002166789,0.00004119678,0.00009435805,0.0002535983,0.00003130102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004379461,0.000004634777,0.001090901,0.00001716763,0.000003632668,0.0001144209,0.00554367,0.0006165584,0.0006515326,0.98647,0.0006299426,0.004853038],"study_design_scores_gemma":[0.00002151515,0.00001997073,0.008687656,0.0001248225,0.0000285582,0.0005359718,0.006162513,0.02541752,0.002134724,0.8154966,0.141308,0.00006228311],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.300979,0.001614419,0.408997,0.004688122,0.0001680659,0.0003071537,0.000864885,0.001042022,0.2813393],"genre_scores_gemma":[0.924129,0.0003988391,0.06036343,0.0002948272,0.00002759172,0.00008435918,0.0002690894,0.0002882954,0.01414477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6869007,"threshold_uncertainty_score":0.6225537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0475854131774452,"score_gpt":0.2609183520977508,"score_spread":0.2133329389203056,"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."}}