{"id":"W2220593735","doi":"10.22230/src.2014v5n2a159","title":"Documenting Subjective Interpretations of Illustrated Book Covers for Lewis Carroll’s Alice’s Adventures in Wonderland","year":2014,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Mount Royal University","funders":"","keywords":"Adventure; Alice (programming language); Interpretation (philosophy); Focus (optics); Computer science; Test (biology); Order (exchange); Psychology; Art history; Artificial intelligence; History; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001907674,0.0003431228,0.0001743346,0.003242448,0.001059713,0.003205077,0.0004612017,0.0005410381,0.005120055],"category_scores_gemma":[0.01296417,0.0002267492,0.0001973652,0.002139878,0.00233843,0.00399441,0.002155816,0.0008503541,0.0008121108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731346,"about_ca_system_score_gemma":0.0006080976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00308938,"about_ca_topic_score_gemma":0.01101953,"domain_scores_codex":[0.9982489,0.0008062776,0.0001000355,0.0002651209,0.0004845446,0.00009499276],"domain_scores_gemma":[0.9901894,0.005917267,0.001209922,0.0008498321,0.001507578,0.0003260332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007014695,0.0001218265,0.04634155,0.0008803392,0.00004769159,0.001773743,0.526026,0.001321053,0.04031496,0.1026855,0.008931688,0.2708542],"study_design_scores_gemma":[0.00004728852,0.0002669889,0.1505433,0.0005150111,0.00007269569,0.001478678,0.5596181,0.01560625,0.03091355,0.0656947,0.1750289,0.0002145431],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8488123,0.0003192761,0.08093259,0.0006690843,0.00007473814,0.0001983989,0.001234492,0.0003682976,0.0673908],"genre_scores_gemma":[0.9660523,0.00009221404,0.02773809,0.00003232211,0.00001503881,0.00008619887,0.0007368177,0.0001204747,0.00512649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005120055,"threshold_uncertainty_score":0.01712835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888699265777485,"score_gpt":0.3663856584903031,"score_spread":0.3374986658325282,"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."}}