{"id":"W4383552057","doi":"10.1075/msw.00031.col","title":"Measurement matters","year":2023,"lang":"en","type":"article","venue":"Metaphor and the Social World","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metaphor; Embodied cognition; Artifact (error); General partnership; Face (sociological concept); Epistemology; Process (computing); Cognitive science; Cognition; Expression (computer science); Sociology; Psychology; Engineering ethics; Computer science; Political science; Social science; Philosophy; Neuroscience; Engineering; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001269862,0.0001078766,0.0001927396,0.0001092199,0.0003711393,0.00004513755,0.000112988,0.00003665411,0.0007856378],"category_scores_gemma":[0.00002201007,0.00006891359,0.0001463722,0.0005263803,0.0001689942,0.00002821568,0.00003618926,0.000131437,0.0009451514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001514095,"about_ca_system_score_gemma":0.00000714586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002007002,"about_ca_topic_score_gemma":0.0002064579,"domain_scores_codex":[0.9988466,0.0002991335,0.0001511121,0.0001830377,0.0002701886,0.0002499631],"domain_scores_gemma":[0.9996752,0.00006282704,0.00005041806,0.0001344564,0.00004008596,0.00003701602],"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":[0.000913169,0.0002164299,0.0007921009,0.00005651975,0.001831606,0.00006779807,0.07261194,3.008183e-7,0.001308823,0.4023323,0.4161347,0.1037343],"study_design_scores_gemma":[0.01799718,0.0000905626,0.1629156,0.00006061493,0.001879786,0.00002185128,0.0609038,0.00002832438,0.001361078,0.1745999,0.5789573,0.001183981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3797688,0.007042842,0.0003956888,0.06304198,0.006126209,0.001485877,0.00005534202,0.0008787562,0.5412045],"genre_scores_gemma":[0.9840525,0.0000238329,0.000006308433,0.003066018,0.0004022581,0.0001061104,0.000007188209,0.00001780042,0.012318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6042837,"threshold_uncertainty_score":0.9998327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04075427721979305,"score_gpt":0.3073596611259876,"score_spread":0.2666053839061946,"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."}}