{"id":"W4388146294","doi":"10.15353/cjo.v84i2.4975","title":"Editorial Eng Vol 84 No 2","year":2022,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005538173,0.0004739088,0.001107071,0.00668321,0.003456981,0.0007384912,0.002151006,0.0003055702,0.006773056],"category_scores_gemma":[0.004072652,0.0004943053,0.0007978877,0.004287205,0.0007780112,0.001354306,0.00006952557,0.002311076,0.00008934248],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003131443,"about_ca_system_score_gemma":0.02422337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02917007,"about_ca_topic_score_gemma":0.01961419,"domain_scores_codex":[0.9929305,0.0007937551,0.001677419,0.0003092542,0.002324056,0.001965073],"domain_scores_gemma":[0.9865835,0.000533507,0.001711057,0.0003549609,0.003418039,0.007398901],"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":[0.00006301091,0.00003347829,0.5419688,0.00001933293,0.0003337032,0.0007927662,0.008485718,0.00016834,0.00001741105,0.00002461039,0.4473308,0.0007620702],"study_design_scores_gemma":[0.001693423,0.0006971698,0.172146,0.0001395243,0.0001916053,0.0005972299,0.02367054,0.000004939714,0.00002267813,0.00002220102,0.8001806,0.0006340941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8390495,0.005120847,0.00008166138,0.003692323,0.1360438,0.0002497452,0.000320247,0.00001117594,0.01543068],"genre_scores_gemma":[0.9387422,0.0001778893,0.000424215,0.0008250665,0.05824769,0.000003360132,0.000004924665,0.0000691263,0.001505594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3698228,"threshold_uncertainty_score":0.9999906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575994081865674,"score_gpt":0.3232991254762195,"score_spread":0.3075391846575627,"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."}}