{"id":"W2152604556","doi":"10.7202/603176ar","title":"Syntactic Categories in Tukang Besi","year":2009,"lang":"en","type":"article","venue":"Revue québécoise de linguistique","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Markedness; Head (geology); Noun phrase; Noun; Syntax; Class (philosophy); Computer science; Mathematics; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004135445,0.0001939668,0.0002677385,0.001935642,0.001515723,0.001735489,0.0002423879,0.0002301345,0.003024152],"category_scores_gemma":[0.0009306233,0.0002628819,0.0002043894,0.00313996,0.00188003,0.001070296,0.001250243,0.0005925787,0.0003594468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092071,"about_ca_system_score_gemma":0.0006918744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009907321,"about_ca_topic_score_gemma":0.01748096,"domain_scores_codex":[0.9996687,0.00007540821,0.00003761642,0.0000722403,0.00007822422,0.00006785183],"domain_scores_gemma":[0.999307,0.000281334,0.0001791523,0.00006142065,0.0001157235,0.00005532387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008575575,0.0001899692,0.3516561,0.0007935161,0.00008825384,0.005109405,0.2542761,0.001674982,0.06902264,0.1124716,0.003256141,0.2006036],"study_design_scores_gemma":[0.00003302731,0.0001528998,0.8587486,0.000259124,0.0001312763,0.005119707,0.07570752,0.004859155,0.006098996,0.01985589,0.0288876,0.0001463503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704503,0.0002560866,0.0008003603,0.0001178425,0.000007566249,0.000009937806,0.0001732486,0.00003511246,0.02814958],"genre_scores_gemma":[0.9988139,0.00004046401,0.0003220233,0.00001005787,0.000001122933,0.000005204959,0.0001022851,0.0000118754,0.0006931501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009907321,"threshold_uncertainty_score":0.01969934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845399840336992,"score_gpt":0.2542763477810909,"score_spread":0.235822349377721,"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."}}