{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070196,0.001013604,0.0003110064,0.001587066,0.007387095,0.004835562,0.0009389114,0.001494326,0.04414234],"category_scores_gemma":[0.003549597,0.0006864073,0.0002940427,0.001812987,0.004214355,0.004300129,0.002976273,0.001805298,0.005029139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004017903,"about_ca_system_score_gemma":0.002293267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1248657,"about_ca_topic_score_gemma":0.3856175,"domain_scores_codex":[0.9993782,0.0002793496,0.0000141773,0.00005609415,0.0001884006,0.00008376299],"domain_scores_gemma":[0.9984664,0.0006802,0.00009060014,0.0001128339,0.0003416782,0.0003083081],"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":[0.00008155937,0.00002450931,0.0005021606,0.0002449563,0.000009188959,0.0004263448,0.0796723,0.00006019262,0.0008567564,0.01527769,0.859417,0.04342752],"study_design_scores_gemma":[0.000006186995,0.000008837967,0.00183346,0.0002063119,0.000006601787,0.0002288298,0.03273812,0.000059733,0.0004598935,0.0009762868,0.9634596,0.00001603744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06790599,0.06230189,0.01175672,0.09939481,0.007526923,0.0003464789,0.01590918,0.002165026,0.732693],"genre_scores_gemma":[0.3105341,0.01725377,0.008979431,0.006491547,0.00131005,0.0004435532,0.006361183,0.003518853,0.6451075],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8751343,"threshold_uncertainty_score":0.2482778,"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."}}