{"id":"W7044096137","doi":"","title":"Words become flesh, the translation of ideas into forms","year":2001,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Translation (biology); Feature (linguistics); Field (mathematics); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001372337,0.0008783604,0.0004446333,0.002329721,0.009378625,0.01533187,0.001500978,0.002910306,0.1393864],"category_scores_gemma":[0.006892366,0.0006181293,0.0003135848,0.004653168,0.004035146,0.003725183,0.002188549,0.003537948,0.03690346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03426183,"about_ca_system_score_gemma":0.0665214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.922856,"about_ca_topic_score_gemma":0.9665654,"domain_scores_codex":[0.9984597,0.0001712594,0.00005013799,0.0001183326,0.0008575497,0.0003430357],"domain_scores_gemma":[0.997152,0.000351004,0.00005345366,0.0002743519,0.001785285,0.0003838404],"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":[0.00002188891,0.00002442993,0.0002994876,0.00006430219,0.000001493355,0.00008946252,0.002519702,0.0001379163,0.0001557186,0.1416273,0.8043075,0.05075079],"study_design_scores_gemma":[0.000005714947,0.000003475788,0.001083112,0.00005263639,0.000002489987,0.00003047674,0.001497563,0.00008992122,0.0001330709,0.005001268,0.9920925,0.000007593571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001242688,0.0008766683,0.0008561406,0.003797181,0.0003060668,0.00006915649,0.001155063,0.0002214435,0.9914756],"genre_scores_gemma":[0.0072746,0.0005651069,0.0005284468,0.0004065242,0.0000255901,0.00002609357,0.0003448151,0.0002274049,0.9906013],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.922856,"threshold_uncertainty_score":0.4662941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004237072097111338,"score_gpt":0.1611280950702258,"score_spread":0.1568910229731145,"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."}}