{"id":"W7008247466","doi":"","title":"Between Flesh and Data","year":2018,"lang":"pt","type":"other","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Federation for the Humanities and Social Sciences","keywords":"Flesh; Order (exchange); Field (mathematics); Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0130246,0.0009259458,0.000758125,0.005937899,0.006540988,0.02885741,0.002263038,0.004941916,0.05039002],"category_scores_gemma":[0.04704965,0.0008992138,0.0007656067,0.01084703,0.03210608,0.05998152,0.02049939,0.008161813,0.009717498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007662125,"about_ca_system_score_gemma":0.005192298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01136138,"about_ca_topic_score_gemma":0.009249813,"domain_scores_codex":[0.9796764,0.01173921,0.00106576,0.002637288,0.003638845,0.001242565],"domain_scores_gemma":[0.9678323,0.01919196,0.001257571,0.008393344,0.002112858,0.001212008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000427963,0.000003891245,0.0002911741,0.000125095,0.00001200713,0.0001369205,0.00949032,0.00008998699,0.0001351164,0.933729,0.0331094,0.02283433],"study_design_scores_gemma":[0.000008859821,0.0000125971,0.0002735546,0.0004039371,0.000008487819,0.0002773564,0.006368142,0.0002424204,0.0001784512,0.2103413,0.7818606,0.00002428534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01270968,0.021464,0.1113575,0.1482386,0.004926857,0.0001428658,0.001723425,0.001025841,0.6984113],"genre_scores_gemma":[0.4851785,0.01445029,0.04395709,0.0385152,0.003974774,0.0004919703,0.002925951,0.00464259,0.4058637],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05039002,"threshold_uncertainty_score":0.1685714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1553445845761355,"score_gpt":0.4387272243753308,"score_spread":0.2833826397991953,"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."}}