{"id":"W4387514932","doi":"10.15847/cct.32646","title":"Recensão de Quando ninguém podia ficar. Racismo, Habitação e Território","year":2023,"lang":"pt","type":"article","venue":"Cidades, comunidades e território/Cidades comunidades e territórios","topic":"Migration, Racism, and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003322846,0.0001204587,0.0002199508,0.001206545,0.005405766,0.006154354,0.0005753633,0.001124702,0.01003127],"category_scores_gemma":[0.01196136,0.0001253629,0.0001830359,0.001109427,0.00835004,0.004188355,0.00219174,0.002381683,0.0005910427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002677225,"about_ca_system_score_gemma":0.004943262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03126848,"about_ca_topic_score_gemma":0.06100231,"domain_scores_codex":[0.9981828,0.0009186245,0.00004734244,0.000170713,0.0003632082,0.0003172342],"domain_scores_gemma":[0.9951539,0.001183662,0.001237006,0.0002859803,0.001130391,0.001009072],"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":[0.00009569347,0.0001729036,0.1628544,0.0004186305,0.00004933762,0.0005960424,0.276256,0.0001245832,0.0009036968,0.3856428,0.03839572,0.1344901],"study_design_scores_gemma":[0.00001201659,0.00007727365,0.1452039,0.001390259,0.00004113816,0.000641303,0.5702794,0.0001552551,0.0004149752,0.05218599,0.22953,0.00006863468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4855232,0.01123635,0.0009156601,0.1695123,0.001249496,0.00003086499,0.0003269674,0.00002983901,0.3311754],"genre_scores_gemma":[0.982633,0.002980003,0.000335436,0.002820102,0.0001584343,0.000009782751,0.00004580749,0.000008947054,0.01100838],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03126848,"threshold_uncertainty_score":0.06217295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05714829696745378,"score_gpt":0.3348307683912194,"score_spread":0.2776824714237657,"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."}}