{"id":"W1512529968","doi":"10.1023/a:1017554903071","title":"Une introduction non classique aux algorithmes d'addition et de soustraction","year":2000,"lang":"fr","type":"article","venue":"Educational Studies in Mathematics","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec; Université du Québec à Rimouski","funders":"","keywords":"Subtraction; Meaning (existential); Sequence (biology); Computer science; Mathematics education; Procedural knowledge; Teaching method; Arithmetic; Artificial intelligence; Mathematics; Psychology; Knowledge-based systems","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003746531,0.003653474,0.003213116,0.003037857,0.002074944,0.006472345,0.003425866,0.004381823,0.0171489],"category_scores_gemma":[0.01077456,0.001958957,0.004667928,0.00400858,0.003958901,0.008521329,0.002195701,0.01132888,0.01156416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002763225,"about_ca_system_score_gemma":0.002360124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004502879,"about_ca_topic_score_gemma":0.004192997,"domain_scores_codex":[0.9944621,0.001550016,0.0006451852,0.001478274,0.001682536,0.0001818989],"domain_scores_gemma":[0.9902763,0.006155495,0.0002501945,0.001016405,0.002156407,0.0001451684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002144312,0.0001318839,0.0006564608,0.002137132,0.0001942884,0.0002865469,0.0004256286,0.008046648,0.007297533,0.3263538,0.1051507,0.5491049],"study_design_scores_gemma":[0.00004307754,0.0001992575,0.001114073,0.0004770302,0.0001081603,0.001266371,0.00008717692,0.03300967,0.00513411,0.1297416,0.8286802,0.0001392954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001420927,0.01915699,0.9429726,0.003236268,0.01791185,0.0001064355,0.0003325914,0.001373706,0.01348861],"genre_scores_gemma":[0.02085635,0.03506679,0.8135553,0.005689986,0.03371307,0.0007575451,0.001311158,0.002551179,0.08649873],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0171489,"threshold_uncertainty_score":0.05736876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05073832885993964,"score_gpt":0.390797718741891,"score_spread":0.3400593898819514,"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."}}