{"id":"W4412334625","doi":"","title":"Fra Fermat til ABC:Løste og uløste problemer i talteorien","year":2013,"lang":"da","type":"article","venue":"Aarhus Universitetsforlag eBooks","topic":"Education, Healthcare and Sociology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Humanities; Philosophy","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":[0.009049195,0.001075229,0.00130145,0.00404771,0.007428534,0.0250486,0.0024684,0.007594166,0.1017142],"category_scores_gemma":[0.03400205,0.0008012395,0.0007565976,0.004113379,0.01112145,0.01126603,0.00865422,0.00815026,0.01906488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009971352,"about_ca_system_score_gemma":0.01643218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05072288,"about_ca_topic_score_gemma":0.02761579,"domain_scores_codex":[0.988758,0.004166269,0.0006891368,0.001644666,0.003371627,0.001370236],"domain_scores_gemma":[0.9830406,0.007558586,0.001055155,0.001445116,0.003963783,0.002936771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001011888,0.000148166,0.002554367,0.0006857318,0.0000256309,0.0006152402,0.0100517,0.0007697862,0.0002449052,0.3388866,0.3496941,0.2962227],"study_design_scores_gemma":[0.00001854934,0.0000282909,0.0008977909,0.001166067,0.00001472918,0.0005165879,0.008238758,0.0006329411,0.0002579417,0.09683675,0.8913585,0.00003306025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02289848,0.05334327,0.03432277,0.3219442,0.01498915,0.0003119207,0.001165443,0.001134187,0.5498907],"genre_scores_gemma":[0.3143798,0.03604237,0.04324017,0.02014924,0.004327155,0.000452857,0.001769247,0.001238146,0.5784011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1017142,"threshold_uncertainty_score":0.3402679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03618593247000471,"score_gpt":0.3459461172097058,"score_spread":0.309760184739701,"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."}}