{"id":"W2795105397","doi":"","title":"Historical Facts and Fictions","year":2007,"lang":"fr","type":"article","venue":"Canadian Children's Literature / Littérature canadienne pour la jeunesse","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History; Epistemology; Computer science; Philosophy","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":[0.002155773,0.0008911947,0.0006179764,0.008949497,0.009807057,0.006706207,0.001474165,0.002052922,0.01232471],"category_scores_gemma":[0.007879286,0.0003353707,0.0002829662,0.01732388,0.01169155,0.004420995,0.002239137,0.003567901,0.003233016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0223157,"about_ca_system_score_gemma":0.01895848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4014077,"about_ca_topic_score_gemma":0.5581868,"domain_scores_codex":[0.9978445,0.0005173042,0.00009385955,0.0003223287,0.0008939438,0.000328142],"domain_scores_gemma":[0.9952012,0.00194876,0.0003120695,0.0002093989,0.001930504,0.0003981552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002052895,0.00001011428,0.0003031858,0.001272914,0.00001348778,0.0003926646,0.01445538,0.0001067477,0.0001110153,0.1180531,0.8198035,0.04545734],"study_design_scores_gemma":[2.82391e-7,8.042001e-7,0.0002127019,0.0006350524,0.000001757496,0.00006848187,0.001648604,0.000003800699,0.00001497943,0.000816008,0.9965946,0.000003007452],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001755077,0.7860004,0.0002637303,0.06827362,0.01224511,0.00001648014,0.000558529,0.00003103325,0.1308561],"genre_scores_gemma":[0.03898186,0.8005214,0.0005827124,0.03514258,0.01352967,0.00005657851,0.0005830026,0.0001076079,0.1104947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5985923,"threshold_uncertainty_score":0.7981426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005656971807174435,"score_gpt":0.186297617600103,"score_spread":0.1806406457929285,"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."}}