{"id":"W4391024220","doi":"10.15353/cjo.v68i3.4608","title":"Media Gratis","year":2021,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commit; Carry (investment); Mass media; Advertising; Political science; Computer science; Public relations; Business; Finance; Database","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002235617,0.0006634736,0.00207245,0.009590328,0.0003205965,0.0005439764,0.001106824,0.0004248628,0.003629496],"category_scores_gemma":[0.006709259,0.0006178792,0.0009602023,0.005803124,0.0008033281,0.001202531,0.00003496184,0.002498131,0.00009821277],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002128548,"about_ca_system_score_gemma":0.02829701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001580241,"about_ca_topic_score_gemma":0.002460648,"domain_scores_codex":[0.9934053,0.0002195087,0.002531843,0.0004225631,0.00171662,0.001704205],"domain_scores_gemma":[0.979613,0.0005462685,0.001560304,0.0007232223,0.005106712,0.01245049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006380965,0.00006844033,0.8770685,0.0001548972,0.0008219915,0.0421201,0.0007284326,0.00004204679,0.0004407153,0.00001876771,0.0739044,0.004567918],"study_design_scores_gemma":[0.004279491,0.000621845,0.8485051,0.002333521,0.0008155898,0.07632978,0.002447098,0.00003119764,0.002493451,0.00001974309,0.06146698,0.0006562336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496358,0.01790911,0.000867588,0.01297043,0.006064746,0.0001974631,0.0001955325,0.00001275931,0.0121466],"genre_scores_gemma":[0.9835229,0.000347317,0.008721919,0.003224871,0.002377286,0.000001267057,0.0000344589,0.000156057,0.001613961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03420968,"threshold_uncertainty_score":0.9998031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565345627989688,"score_gpt":0.3195505957422602,"score_spread":0.3038971394623634,"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."}}