{"id":"W3082903479","doi":"10.17742/image.in.11.2.4","title":"Discussing &lt;i&gt;The Anatomy Table&lt;/i&gt; and &lt;i&gt;The Vaccination Picture&lt;/i&gt;","year":2020,"lang":"en","type":"article","venue":"Imaginations Journal of Cross-Cultural Image Studies","topic":"Empathy and Medical Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Vaccination; Anatomy; Medicine; Computer science; Virology; Data mining","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":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.001201421,0.0005043604,0.0008052033,0.0002112431,0.001762727,0.001298721,0.0004568093,0.0001327025,0.0001457355],"category_scores_gemma":[0.009341712,0.0002615607,0.0003289043,0.001024764,0.002881157,0.004948253,0.0002140077,0.0008829006,0.00002704921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003124737,"about_ca_system_score_gemma":0.0003607941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002414871,"about_ca_topic_score_gemma":0.00002848215,"domain_scores_codex":[0.9963429,0.0002364256,0.001189334,0.0004568982,0.001178668,0.0005957842],"domain_scores_gemma":[0.9894229,0.0005197165,0.0008902185,0.000355694,0.008366819,0.0004446373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007116279,0.001174386,0.003566989,0.001134777,0.002890203,0.0004087612,0.1961308,0.000129557,0.3914613,0.03895606,0.2778632,0.08557232],"study_design_scores_gemma":[0.007085315,0.0007919318,0.1917434,0.0007648453,0.002163135,0.00177767,0.01895206,0.001025291,0.006643596,0.00591183,0.7622349,0.0009060465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5806037,0.06916371,0.001656955,0.3310445,0.002010461,0.001254076,0.00006961732,0.0001440582,0.01405292],"genre_scores_gemma":[0.9865664,0.004493524,0.002129086,0.002597602,0.001821113,0.00004851347,0.00003991692,0.00004722736,0.002256628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4843717,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601239595691562,"score_gpt":0.3715570078169163,"score_spread":0.3455446118600006,"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."}}