{"id":"W2302687810","doi":"","title":"Superheroes and Origin Stories: Tools to Discover and Claim One's Callings","year":2015,"lang":"en","type":"article","venue":"Intersections Canadian Journal of Music","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genealogy; History; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001389588,0.00007859546,0.0001341338,0.0003241414,0.0002148768,0.0003601226,0.00006728751,0.00002132161,0.0002928076],"category_scores_gemma":[0.00006546408,0.00006714404,0.00003685465,0.00004791872,0.0001758397,0.0003304074,0.000009980109,0.0001470789,0.000002956405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007638068,"about_ca_system_score_gemma":0.0002847542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03875188,"about_ca_topic_score_gemma":0.7857238,"domain_scores_codex":[0.9995167,0.00002030039,0.0001758585,0.00008181903,0.00007367619,0.0001316093],"domain_scores_gemma":[0.9991897,0.00003714513,0.00005075135,0.00005942241,0.0001868099,0.0004761304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007340633,0.00003187499,0.006000474,0.00001536662,0.0002237125,0.00006078228,0.756948,0.00003469602,0.0001073243,0.1884501,0.04387224,0.004182016],"study_design_scores_gemma":[0.0004221514,0.0005540005,0.001316346,0.0001080423,0.00003922073,0.0001006244,0.1343695,0.00001763082,0.00001208547,0.00471577,0.8581687,0.0001758952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924092,0.0003019116,0.00008819756,0.002056846,0.001264873,0.00005881497,0.00004197591,0.000003587418,0.003774616],"genre_scores_gemma":[0.9978169,0.00001161118,0.00005060582,0.0004060007,0.0005088556,0.000001806679,7.709299e-7,0.000008215058,0.001195261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8142965,"threshold_uncertainty_score":0.9676492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142959432901209,"score_gpt":0.2498223323617507,"score_spread":0.1355263890716298,"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."}}