{"id":"W4382683029","doi":"10.1515/9780773560475-001","title":"Tables and Figures","year":2007,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Geology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001179024,0.001419602,0.001737839,0.01285964,0.002745791,0.003875879,0.002060377,0.0007813359,0.7485935],"category_scores_gemma":[0.01994713,0.0006381572,0.001087572,0.03550754,0.0006363786,0.001389277,0.0008624261,0.001345085,0.3284007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007319005,"about_ca_system_score_gemma":0.01611143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5617437,"about_ca_topic_score_gemma":0.5633498,"domain_scores_codex":[0.9978144,0.0001347838,0.0002154015,0.0003625624,0.001151758,0.0003210045],"domain_scores_gemma":[0.9824735,0.003704901,0.001128223,0.0009760993,0.01099399,0.0007233962],"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":[0.00001665199,0.000005493966,0.0002336248,0.0006096069,0.00001323385,0.00001461565,0.00002483707,0.0001860304,0.00002393997,0.001016138,0.9888581,0.008997637],"study_design_scores_gemma":[0.00005591595,0.000008907611,0.003815609,0.000561249,0.00002224887,0.00003248932,0.0001223011,0.0001243512,0.00003308068,0.001355527,0.9938464,0.00002192216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003276501,0.001004559,0.0005606107,0.0009543707,0.001884817,0.000211435,0.9343514,0.001164099,0.05954102],"genre_scores_gemma":[0.005124637,0.004411153,0.003631691,0.001171489,0.001042603,0.000658547,0.845282,0.001149851,0.1375281],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5617437,"threshold_uncertainty_score":0.8816745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051492462984891,"score_gpt":0.2559886139070272,"score_spread":0.2254736892771783,"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."}}