{"id":"W2587692231","doi":"","title":"Object Agreement in Blackfoot: Sentient and Non-Sentient Controllers","year":2007,"lang":"en","type":"article","venue":"Algonquian Papers - Archive","topic":"Categorization, perception, and language","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Agreement; Animacy; Object (grammar); Linguistics; Natural language processing; Computer science; Artificial intelligence; Semantics (computer science); Philosophy","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":[0.001211519,0.0002227014,0.0002743471,0.0009933014,0.002452525,0.003642888,0.0006321564,0.0008449052,0.004010983],"category_scores_gemma":[0.003520637,0.0002287591,0.000259135,0.00083377,0.008036821,0.0049194,0.002803215,0.0008277565,0.0002248827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892937,"about_ca_system_score_gemma":0.001077014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03687988,"about_ca_topic_score_gemma":0.02473499,"domain_scores_codex":[0.9991279,0.000171846,0.0000336186,0.0001738867,0.0002809447,0.0002117689],"domain_scores_gemma":[0.9987848,0.0005106175,0.0001758645,0.0001920312,0.0002309344,0.0001056695],"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":[0.0001780683,0.00003731849,0.01488713,0.00004985277,0.00001725487,0.0004547747,0.05896749,0.0006988927,0.008891137,0.8800147,0.001266107,0.03453727],"study_design_scores_gemma":[0.00004036894,0.0000525727,0.04661993,0.00006522451,0.00003271466,0.0005554731,0.04585384,0.00952784,0.004733853,0.853775,0.03866284,0.00008029318],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8302685,0.000268585,0.04029783,0.001491066,0.00004519345,0.00004575,0.00007055244,0.0001171514,0.1273954],"genre_scores_gemma":[0.9944924,0.00003003051,0.00274564,0.00006380375,0.000005545303,0.00001048709,0.00003379223,0.00002145815,0.002596755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03687988,"threshold_uncertainty_score":0.07333046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006501080740514985,"score_gpt":0.2677390136046999,"score_spread":0.261237932864185,"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."}}