{"id":"W2886808321","doi":"10.1186/s41235-018-0123-6","title":"Inversion effects in the expert classification of mammograms and faces","year":2018,"lang":"en","type":"article","venue":"Cognitive Research Principles and Implications","topic":"Radiology practices and education","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Cancer Institute; National Eye Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Perception; Categorization; Radiological weapon; Stimulus (psychology); Inversion (geology); Artificial intelligence; Psychology; Medicine; Audiology; Cognitive psychology; Radiology; Computer science; Neuroscience; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001660776,0.0003155172,0.0001927105,0.0005862257,0.0001833045,0.0005303503,0.0003395918,0.0004527263,0.004555781],"category_scores_gemma":[0.02028885,0.0002195335,0.0002203047,0.0001738245,0.0008237762,0.0009900413,0.000985296,0.0005705416,0.0003091263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002517377,"about_ca_system_score_gemma":0.0002249545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00122728,"about_ca_topic_score_gemma":0.00157104,"domain_scores_codex":[0.9988313,0.0002234733,0.00006137725,0.0002022972,0.0005768098,0.0001048336],"domain_scores_gemma":[0.9917753,0.0054782,0.0008442136,0.0006684482,0.00089166,0.0003420668],"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":[0.003773138,0.0003835607,0.07774901,0.0004935017,0.0001846092,0.001317069,0.005772889,0.002532452,0.6370983,0.004594955,0.001166784,0.2649338],"study_design_scores_gemma":[0.00009822668,0.002903495,0.8449634,0.0001059261,0.0001151495,0.005168476,0.002426491,0.01337693,0.118017,0.009268325,0.003431654,0.0001248241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788041,0.0002021023,0.0100941,0.0001425972,0.0000344932,0.00006570902,0.00004137076,0.00004576672,0.01056966],"genre_scores_gemma":[0.9941315,0.00006929871,0.00434933,0.00009201844,0.0000184219,0.00001539167,0.00007260995,0.00001639501,0.001235143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004555781,"threshold_uncertainty_score":0.01524067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.275163990334566,"score_gpt":0.4941190629669913,"score_spread":0.2189550726324254,"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."}}