{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09067098,0.001515421,0.002026584,0.004391621,0.00406371,0.01115969,0.004237239,0.004371886,0.07108716],"category_scores_gemma":[0.4181063,0.001053161,0.001433332,0.008538722,0.008378634,0.01095531,0.00660562,0.007526735,0.03294674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006483691,"about_ca_system_score_gemma":0.01015847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008626123,"about_ca_topic_score_gemma":0.004832929,"domain_scores_codex":[0.8604233,0.0741969,0.01162759,0.01937686,0.03102359,0.00335183],"domain_scores_gemma":[0.7132493,0.09815837,0.0159026,0.08269095,0.08445821,0.005540666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002516646,0.0001064874,0.0228343,0.001308537,0.0002888388,0.0001129084,0.002992562,0.0002915294,0.0007105418,0.3845797,0.358474,0.2280489],"study_design_scores_gemma":[0.0001142599,0.0001424799,0.02107386,0.002551344,0.0001391473,0.0004101196,0.002089514,0.001381297,0.001398234,0.2485883,0.7220092,0.0001022043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01220727,0.0157967,0.1421918,0.2793562,0.05394745,0.002214357,0.01438579,0.002488927,0.4774114],"genre_scores_gemma":[0.5721506,0.009204737,0.08846016,0.137836,0.02955943,0.008160134,0.01388245,0.003445306,0.1373011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09067098,"threshold_uncertainty_score":0.4795197,"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."}}