{"id":"W7051965842","doi":"","title":"Papel de la MAPP/OEA en la reivindicación psicosocial de victimas militares por MAP: Caso Taraza (2010-2018)","year":2019,"lang":"es","type":"dissertation","venue":"Aaltodoc (Aalto University)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Order (exchange)","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":[0.001468676,0.0002853424,0.00033616,0.002259423,0.00386676,0.003446268,0.0006736504,0.0007948243,0.007312228],"category_scores_gemma":[0.004772434,0.000223667,0.0002318893,0.002764475,0.002211386,0.002613755,0.004904875,0.001789791,0.000472991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00931865,"about_ca_system_score_gemma":0.00793499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.406458,"about_ca_topic_score_gemma":0.4949594,"domain_scores_codex":[0.9986699,0.0003975293,0.00005936965,0.0001501096,0.0002494964,0.0004736055],"domain_scores_gemma":[0.9973126,0.0005209923,0.000620448,0.0001036809,0.0008873423,0.0005548453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002796401,0.00008613813,0.3627042,0.001671167,0.00006048507,0.001979612,0.3926819,0.0001569921,0.0009534695,0.01682976,0.06235162,0.1602451],"study_design_scores_gemma":[0.000009726854,0.00003238042,0.4262574,0.000940759,0.00003473216,0.0003664603,0.3814566,0.0001769642,0.0003279248,0.001102456,0.1892367,0.00005788299],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8592833,0.01120222,0.001097304,0.03628672,0.000656063,0.0001511964,0.003277527,0.0001400626,0.08790555],"genre_scores_gemma":[0.9888976,0.002379573,0.0003285136,0.0007230297,0.00007145989,0.00007875776,0.0004231437,0.00002917229,0.007068784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.406458,"threshold_uncertainty_score":0.8081842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004417246291341475,"score_gpt":0.2086149280976164,"score_spread":0.204197681806275,"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."}}