{"id":"W2991617129","doi":"","title":"Stereotypical Canadian: If and only If","year":2017,"lang":"en","type":"article","venue":"CSUSB ScholarWorks (California State University, San Bernardino)","topic":"Cultural Identity and Representation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ironwood Pharmaceuticals, Incorporated","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001771492,0.0002166589,0.0002391014,0.0001932476,0.003627792,0.002051556,0.0005542032,0.0001155314,0.001486925],"category_scores_gemma":[0.00006584009,0.0002085711,0.0001289856,0.00003540943,0.0006359501,0.001542319,0.0003320581,0.0004886272,0.0005327699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835125,"about_ca_system_score_gemma":0.0001104018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09030566,"about_ca_topic_score_gemma":0.3241833,"domain_scores_codex":[0.9986705,0.00008291053,0.0001735796,0.0003894768,0.000252593,0.0004310002],"domain_scores_gemma":[0.9987046,0.00003792782,0.0001613243,0.0004427098,0.0002011604,0.0004523005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008771913,0.0003437855,0.5259205,0.0002468505,0.001175342,0.002195741,0.04549544,0.0001826241,0.0001709349,0.1992426,0.1482807,0.07586823],"study_design_scores_gemma":[0.001101276,0.00004830697,0.1253767,0.0000823936,0.0001131953,0.00003274745,0.005564417,0.0001515952,0.00001593254,0.001927391,0.8651372,0.0004488433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9180029,0.00009710806,0.00003786967,0.002448974,0.0007270419,0.0002342486,0.0005685062,0.00007620385,0.07780716],"genre_scores_gemma":[0.9477428,0.0002217302,0.0000521493,0.0001719319,0.0003435449,4.56053e-7,0.00006752733,0.00001916759,0.05138065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7168564,"threshold_uncertainty_score":0.9994258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394608146224894,"score_gpt":0.2210791703430232,"score_spread":0.1971330888807743,"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."}}