{"id":"W1687928542","doi":"10.15210/interfaces.v14i1.6794","title":"Entrevista com Fernando Andacht, da Université d´Ottawa","year":2014,"lang":"es","type":"article","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Migration, Racism, and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[0.00291168,0.000723708,0.0008645753,0.001277572,0.0138905,0.006386236,0.001364196,0.00467251,0.01464126],"category_scores_gemma":[0.0103185,0.0004386502,0.0004843008,0.001319909,0.00646503,0.004024549,0.003366713,0.01012565,0.003173784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01636051,"about_ca_system_score_gemma":0.02151856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2439939,"about_ca_topic_score_gemma":0.4408581,"domain_scores_codex":[0.9963246,0.001045422,0.0001166873,0.0006810356,0.001183305,0.0006490175],"domain_scores_gemma":[0.9918812,0.001121797,0.0004996229,0.0001962174,0.002390401,0.003910816],"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":[0.0001550281,0.00005459626,0.003154316,0.0002162726,0.00003420302,0.0006730137,0.04433787,0.000106176,0.001078332,0.04787293,0.8717099,0.03060739],"study_design_scores_gemma":[0.000003973948,0.00001261419,0.001390744,0.000127094,0.000006690033,0.0002545948,0.01028479,0.00002920184,0.0001886134,0.001377702,0.9863023,0.00002186829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01036585,0.03248049,0.0006690432,0.9071457,0.02367504,0.00002861795,0.0002068841,0.00008138303,0.02534688],"genre_scores_gemma":[0.1803197,0.01864836,0.001426857,0.1911223,0.008650417,0.00006609719,0.0001363593,0.0002360116,0.5993939],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2439939,"threshold_uncertainty_score":0.4851475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04977737799172906,"score_gpt":0.3702921434274578,"score_spread":0.3205147654357288,"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."}}