{"id":"W6931594482","doi":"10.5281/zenodo.7979885","title":"Preparación de los coordinadores generales en la atención a las diferencias individuales de los alumnos","year":2023,"lang":"es","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Context (archaeology); Work (physics)","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":[0.003137309,0.0004687139,0.0002602743,0.0006155053,0.002283796,0.003715972,0.0008188616,0.0007677941,0.00923614],"category_scores_gemma":[0.003971364,0.000186151,0.0002421377,0.0004320477,0.001700926,0.0010778,0.002433876,0.001284341,0.001655247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278985,"about_ca_system_score_gemma":0.005722702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004301468,"about_ca_topic_score_gemma":0.009196809,"domain_scores_codex":[0.9981338,0.0009058487,0.00006529062,0.0002321835,0.0003082806,0.0003544825],"domain_scores_gemma":[0.9978104,0.0003729407,0.0002136657,0.0001559477,0.0005799777,0.0008671197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004300854,0.002245612,0.07268692,0.001170457,0.00007994024,0.0013632,0.1994528,0.004226065,0.01786787,0.1125674,0.02376751,0.5641422],"study_design_scores_gemma":[0.0001216176,0.001466793,0.08508765,0.001201122,0.0001268169,0.0007037282,0.256777,0.003295513,0.00810669,0.04159379,0.6014175,0.0001017948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7363536,0.002786916,0.04066679,0.01554015,0.0009616126,0.0007333739,0.0001103327,0.00026935,0.2025778],"genre_scores_gemma":[0.8927596,0.00180451,0.01302201,0.0006876247,0.000177466,0.0002876462,0.00007188165,0.00003474551,0.09115435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00923614,"threshold_uncertainty_score":0.03089792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673349173088962,"score_gpt":0.2678913511536265,"score_spread":0.2511578594227369,"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."}}