{"id":"W4244906433","doi":"10.1075/slcs.89.11kup","title":"The definite article in non-specific object noun phrases: Comparing French and Italian","year":2007,"lang":"en","type":"book-chapter","venue":"Studies in language companion series","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Object (grammar); Linguistics; Noun; Point (geometry); Function (biology); Noun phrase; Contrast (vision); History; Proper noun; Computer science; Artificial intelligence; Mathematics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003600761,0.0003115127,0.0005923096,0.0002180982,0.000454533,0.0002540115,0.0001713489,0.0000655597,0.0002168732],"category_scores_gemma":[0.00005752151,0.0002254132,0.00009307207,0.00003561316,0.001074834,0.00009049408,0.000219412,0.0003193014,0.00003863296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007404428,"about_ca_system_score_gemma":0.00001307233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006609847,"about_ca_topic_score_gemma":0.07525633,"domain_scores_codex":[0.9986178,0.00002231997,0.0005091879,0.0003100674,0.0002288876,0.0003117247],"domain_scores_gemma":[0.9990975,0.0002804365,0.0001638783,0.0003043823,0.0001142687,0.00003958393],"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":[0.00003084285,0.00002816896,0.0009313365,0.00008855346,0.0002199946,0.0001887867,0.1331058,0.000008078518,0.00000271079,0.8623814,0.001566538,0.001447741],"study_design_scores_gemma":[0.0009088309,0.0001229963,0.001583443,0.001195273,0.0001678077,0.00001121252,0.3403147,0.00009562578,0.00001789346,0.03197002,0.622586,0.001026222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03569609,0.05601255,0.000002789977,0.0001023139,0.0008471515,0.0002207988,0.00004881041,0.00003822759,0.9070313],"genre_scores_gemma":[0.92677,0.006819684,0.00003905117,0.00007596604,0.001112568,0.00001454285,0.00003355475,0.00003631948,0.06509831],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8910739,"threshold_uncertainty_score":0.9416178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09550813268797674,"score_gpt":0.3196875595140371,"score_spread":0.2241794268260603,"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."}}