{"id":"W2033513200","doi":"10.3390/technologies2010001","title":"Analysis of North American Newspaper Coverage of Bionics Using the Disability Studies Framework","year":2014,"lang":"en","type":"article","venue":"Technologies","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bionics; Newspaper; Psychological intervention; Psychology; Medicine; Computer science; Engineering; Advertising; Artificial intelligence; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000220238,0.0001139111,0.000424268,0.0001745629,0.0001219871,0.00001161769,0.0007473862,0.00004394637,0.000002850134],"category_scores_gemma":[0.004831624,0.00007184352,0.0001211622,0.00389836,0.004024683,0.00005660341,0.0005866618,0.0002640542,0.000001506934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005266101,"about_ca_system_score_gemma":0.00001661318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001372461,"about_ca_topic_score_gemma":0.0004207685,"domain_scores_codex":[0.9987243,0.0001263308,0.0002645266,0.0003012359,0.0003386816,0.0002449273],"domain_scores_gemma":[0.9975523,0.001183206,0.0002409566,0.0009907441,0.0000222523,0.00001049755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001876714,0.000128968,0.9250892,0.00003393821,0.0001913627,6.332706e-7,0.0004145421,0.00307866,0.004862361,0.02263054,0.000007506223,0.04354354],"study_design_scores_gemma":[0.0001255436,0.0002855706,0.8257135,0.00002580006,0.000326797,7.191038e-7,0.002844926,0.02096625,0.1203722,0.02891087,0.0001617102,0.0002661459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942974,0.0001360047,0.002174575,0.002774351,0.00001995334,0.000150893,0.00001607883,0.00036604,0.00006472349],"genre_scores_gemma":[0.9983849,0.0008784962,0.0006724184,0.00004267185,0.000002534014,0.000008675735,3.507829e-7,0.000007609905,0.000002341303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1155099,"threshold_uncertainty_score":0.9986858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06158153970771083,"score_gpt":0.3649643667099683,"score_spread":0.3033828270022574,"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."}}