{"id":"W7023443955","doi":"","title":"Objects and language in transcontextual communication","year":2015,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Luxembourg)","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Object (grammar); Natural language; Feature (linguistics); Semantics (computer science)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004794389,0.0004550478,0.0005642155,0.003960517,0.00267798,0.0140555,0.001296317,0.002050879,0.02766556],"category_scores_gemma":[0.02814727,0.0004782159,0.0002910646,0.004167544,0.01283438,0.01907571,0.004766942,0.00188064,0.004687592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944915,"about_ca_system_score_gemma":0.002226168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003554194,"about_ca_topic_score_gemma":0.001805359,"domain_scores_codex":[0.9917681,0.00460098,0.0005263745,0.0007613513,0.001879175,0.0004639605],"domain_scores_gemma":[0.9793556,0.01234602,0.000869569,0.003428549,0.003562176,0.0004380201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004219762,0.00001251737,0.0003383066,0.0002259571,0.000009347824,0.0003697947,0.02424975,0.0003005594,0.0005370375,0.906486,0.007974486,0.05945406],"study_design_scores_gemma":[0.00002932804,0.00003483336,0.001267376,0.0004982763,0.00002282966,0.0008012536,0.01454826,0.001215219,0.001493159,0.6629226,0.3171179,0.00004898313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04851158,0.01023243,0.09078598,0.009682281,0.001480481,0.0001371745,0.0003812583,0.0007564795,0.8380324],"genre_scores_gemma":[0.881593,0.004306199,0.01706,0.0006264476,0.001053016,0.0001836385,0.0004803603,0.0007712755,0.09392606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02766556,"threshold_uncertainty_score":0.09255052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248867987708894,"score_gpt":0.2691287104434184,"score_spread":0.2466400305663295,"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."}}