{"id":"W2542449709","doi":"","title":"Infrasense: Stories from the Horses Mouth. A project by KIT and Robert Saucier. Kit and Robert Saucier, Infrasense, Fonderie Darling, MontréalKit and Robert Saucier, Infrasense, Fonderie Darling, Montréal","year":2006,"lang":"en","type":"article","venue":"ETC","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cornish; History; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000637267,0.001169677,0.001296192,0.0003062396,0.002248178,0.002315704,0.0004413076,0.0004111937,0.000713933],"category_scores_gemma":[0.000597789,0.0009111484,0.0003150413,0.0002861234,0.001568535,0.0006723987,0.0004579172,0.0008108304,0.00002113647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001259009,"about_ca_system_score_gemma":0.0003058504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1932357,"about_ca_topic_score_gemma":0.1281108,"domain_scores_codex":[0.9948291,0.0002586613,0.001261996,0.001494742,0.0009657455,0.001189779],"domain_scores_gemma":[0.9964943,0.0008504783,0.0006151929,0.001129965,0.0004935903,0.0004165001],"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":[0.0004884586,0.0007628968,0.01306602,0.0002456228,0.001421961,0.0003637639,0.05082423,0.0002223214,0.0009106272,0.03126847,0.8907761,0.009649556],"study_design_scores_gemma":[0.002626561,0.0002858872,0.001962902,0.0002211224,0.00118023,0.00003762486,0.01439093,0.002445118,0.0004394703,0.01066457,0.9640985,0.001647141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8246212,0.1206205,0.0003885304,0.003520601,0.001379859,0.001571977,0.002807654,0.0004635213,0.04462615],"genre_scores_gemma":[0.952066,0.006841855,0.0009434076,0.002297805,0.004175643,0.0001269753,0.001128378,0.0002586001,0.03216132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1274448,"threshold_uncertainty_score":0.9993339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112215249864161,"score_gpt":0.2250197281771232,"score_spread":0.2138975756784816,"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."}}