{"id":"W2794719302","doi":"","title":"A Distinctive and Successful Canadian Fantasy","year":2007,"lang":"fr","type":"article","venue":"Canadian Children's Literature / Littérature canadienne pour la jeunesse","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fantasy; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009542538,0.000701955,0.0002814305,0.001319047,0.0276215,0.008019566,0.00107844,0.002589272,0.01344678],"category_scores_gemma":[0.003944762,0.0002521827,0.0002982967,0.001567439,0.01066046,0.001670083,0.00283307,0.004146492,0.001138666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04873364,"about_ca_system_score_gemma":0.04463809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9474482,"about_ca_topic_score_gemma":0.9802437,"domain_scores_codex":[0.9981013,0.0002873285,0.00001834258,0.0001896753,0.0007808069,0.000622691],"domain_scores_gemma":[0.9987514,0.0001591601,0.00004879185,0.00006029836,0.0004915416,0.0004887156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006629433,0.00002560759,0.001990629,0.00005879831,0.00001339795,0.001660106,0.1829331,0.0002018508,0.00119366,0.6532409,0.1319658,0.02664992],"study_design_scores_gemma":[0.000008165111,0.00001163002,0.003632075,0.00009386112,0.00001396775,0.001075073,0.09164891,0.0001474875,0.0004091823,0.008903126,0.8939994,0.00005713034],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07462944,0.001508461,0.001766409,0.02270386,0.001478875,0.00005047968,0.0002842608,0.00009122168,0.897487],"genre_scores_gemma":[0.7791876,0.001122393,0.002480004,0.002290565,0.00008581638,0.00002923288,0.00011117,0.0001343473,0.2145589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05255181,"threshold_uncertainty_score":0.3535889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00337808113086317,"score_gpt":0.1913340166285047,"score_spread":0.1879559354976415,"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."}}