{"id":"W1967270415","doi":"","title":"Annual Workshop on Formal Approaches to Slavic Linguistics : The Toronto Meeting 2006","year":2007,"lang":"en","type":"book","venue":"Michigan Slavic Publications eBooks","topic":"Language and Culture","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Slavic languages; Linguistics; Library science; History; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001631257,0.001233189,0.001383851,0.001016275,0.003028818,0.005678172,0.001083683,0.001182108,0.06264627],"category_scores_gemma":[0.001821431,0.0007451817,0.0006074234,0.002110522,0.002109986,0.003541548,0.001581375,0.001730593,0.009997025],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00782395,"about_ca_system_score_gemma":0.009385511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1959887,"about_ca_topic_score_gemma":0.4501229,"domain_scores_codex":[0.999424,0.0002043358,0.00002427104,0.00009704741,0.0001567456,0.00009360376],"domain_scores_gemma":[0.9990602,0.0002192452,0.00002143835,0.0001092908,0.0004007308,0.0001890935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005785641,0.00003368426,0.0003083224,0.0001369402,0.000009197127,0.00007442242,0.001755449,0.0007856733,0.0007825841,0.0523133,0.8387225,0.1050201],"study_design_scores_gemma":[0.00001462235,0.00001654318,0.001001104,0.0002863148,0.0000145766,0.00007668816,0.00110698,0.002073639,0.0005326712,0.02321977,0.9716341,0.00002303433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01573549,0.08572794,0.1707669,0.05612973,0.01863651,0.0003575307,0.00657309,0.004819352,0.6412534],"genre_scores_gemma":[0.06714122,0.02315595,0.04765858,0.001254831,0.002199212,0.0001934369,0.004030389,0.001429959,0.8529364],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9921761,"threshold_uncertainty_score":0.3896958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05659332512309379,"score_gpt":0.3029037329134688,"score_spread":0.246310407790375,"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."}}