{"id":"W381627191","doi":"","title":"The Comprehension of “Left” and “Right” in a Referential Communication Task","year":2009,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Left and right; Comprehension; Meaning (existential); Perspective (graphical); Psychology; Cognitive psychology; Ostensive definition; Interpretation (philosophy); Relation (database); Cognitive science; Computer science; Epistemology; Linguistics; Artificial intelligence; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003256477,0.0007652591,0.0005739341,0.0005121476,0.0004468275,0.002222908,0.0005759976,0.0013206,0.005133882],"category_scores_gemma":[0.03257653,0.0003765126,0.0003278183,0.0003015849,0.0009479451,0.00289836,0.001259862,0.001079624,0.0009258668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004329556,"about_ca_system_score_gemma":0.0004316566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433172,"about_ca_topic_score_gemma":0.001262542,"domain_scores_codex":[0.99744,0.001085454,0.0002277237,0.0004711401,0.0005882115,0.000187488],"domain_scores_gemma":[0.9758522,0.01651626,0.003946,0.001397704,0.001394133,0.0008936268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006148276,0.002433022,0.1495227,0.001151985,0.000272483,0.001711428,0.2209092,0.002324882,0.4749224,0.006787072,0.004602831,0.1292137],"study_design_scores_gemma":[0.0009403575,0.007353384,0.784385,0.0004107343,0.0002116894,0.002207795,0.07256828,0.03243526,0.07635282,0.01074663,0.01166718,0.0007207726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947839,0.00003575982,0.001492585,0.00004878605,0.00001211644,0.00005672346,0.00005920844,0.00003829502,0.00347259],"genre_scores_gemma":[0.9956152,0.00004889737,0.002924115,0.0000763334,0.00001133625,0.0001125565,0.0001470949,0.00003403653,0.001030293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005133882,"threshold_uncertainty_score":0.01722217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009019280423233222,"score_gpt":0.2015516519607786,"score_spread":0.1925323715375453,"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."}}