{"id":"W4285717808","doi":"10.33055/didacticahistorica.2020.006.01.91","title":"Des petites cartes pour une grande histoire : utilisation d'un jeu de cartes historiques pour enseigner la pensée historique","year":2020,"lang":"en","type":"article","venue":"Didactica historica","topic":"Educator Training and Historical Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Library science; History; Art; Computer science","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":[0.006634526,0.0004738096,0.0002576777,0.001633005,0.008951261,0.006043711,0.0008016538,0.0008324427,0.003597392],"category_scores_gemma":[0.008038756,0.000302432,0.0001818823,0.002791114,0.008927676,0.002540568,0.003237808,0.001554256,0.0003072763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01149352,"about_ca_system_score_gemma":0.0203998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4735655,"about_ca_topic_score_gemma":0.7692623,"domain_scores_codex":[0.9972581,0.001617414,0.00004796843,0.0001385192,0.0006022241,0.0003358531],"domain_scores_gemma":[0.995265,0.0026089,0.0002943876,0.0004226821,0.00090582,0.0005032087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000467084,0.00005615538,0.0073673,0.0001596988,0.00000673363,0.0006077275,0.8785801,0.0003232469,0.002305571,0.01646484,0.003082716,0.09099912],"study_design_scores_gemma":[0.00001119314,0.00009347889,0.02616539,0.0003555648,0.00002568256,0.0004782704,0.6621811,0.0004856272,0.002632136,0.002733978,0.3047953,0.00004236641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8542995,0.003560085,0.01158564,0.008568517,0.0002455004,0.0002030758,0.000121398,0.0001438176,0.1212724],"genre_scores_gemma":[0.958648,0.001901775,0.01339187,0.0002818345,0.00003203657,0.00004894333,0.00006369816,0.00006387634,0.02556804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4735655,"threshold_uncertainty_score":0.941618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08831926199262466,"score_gpt":0.3294921208190806,"score_spread":0.241172858826456,"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."}}