{"id":"W6949559001","doi":"10.5281/zenodo.14888591","title":"La enseñanza del cálculo diferencial e integral","year":2013,"lang":"es","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Measure (data warehouse); Set (abstract data type); Noise (video); Stability (learning theory)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004606692,0.0005066723,0.0003756065,0.0002558143,0.001763269,0.001134419,0.001295575,0.0008324228,0.01559583],"category_scores_gemma":[0.0005318457,0.0005133472,0.0002465819,0.0002108605,0.0004763843,0.00003109676,0.001868929,0.0009443983,0.01222918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001941061,"about_ca_system_score_gemma":0.00002979874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003531783,"about_ca_topic_score_gemma":0.000001085569,"domain_scores_codex":[0.9969019,0.0006208364,0.0004605316,0.0009608399,0.000456019,0.0005999016],"domain_scores_gemma":[0.9976189,0.00002022923,0.0002803638,0.0008621506,0.0009050349,0.0003133275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002525516,0.0001222008,0.000003877305,0.0001871046,0.0002887384,0.00002288112,0.0003589208,0.000007576217,0.02959419,0.007190451,0.7107041,0.2512674],"study_design_scores_gemma":[0.0006432042,0.0007473567,0.0004424592,0.00008913808,0.00008740471,0.0003033506,0.0001720064,0.00005815874,0.0009292114,0.0003195096,0.9956676,0.0005406421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03643567,0.000535559,0.002387521,0.0003196039,0.0007494638,0.001007287,0.0009002746,0.0004605948,0.957204],"genre_scores_gemma":[0.7774436,0.002659622,0.0007493894,0.0008939146,0.005517607,3.574442e-7,0.04438018,0.009303454,0.1590519],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7981522,"threshold_uncertainty_score":0.9999025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628462180083052,"score_gpt":0.2220605567266898,"score_spread":0.2057759349258593,"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."}}