{"id":"W7082422942","doi":"","title":"ELS IMMIGRANTS A LA CIUTAT DE VALENCIA. LA INSERCIÓ URBANA DELS NOUS VEÏNS","year":2004,"lang":"es","type":"article","venue":"Repository of Digital Objects for Teaching Research and Culture (University of Valencia)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Work (physics); Identity (music); Population; Metropolitan area","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":[0.0003721513,0.0003395756,0.000186944,0.000924124,0.003265445,0.002381934,0.0004942399,0.0005223821,0.01555334],"category_scores_gemma":[0.001126914,0.0001635798,0.0001717534,0.001304112,0.001062779,0.0007253827,0.002085992,0.0006085249,0.001670115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002703153,"about_ca_system_score_gemma":0.002112829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2304716,"about_ca_topic_score_gemma":0.4071728,"domain_scores_codex":[0.9997513,0.00004099802,0.000012142,0.0000478325,0.0000388891,0.000108877],"domain_scores_gemma":[0.9996362,0.00003765418,0.00007858229,0.00003482734,0.00008643426,0.0001264124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003230886,0.0001301596,0.4459034,0.000359451,0.00006209142,0.00483208,0.2021975,0.0002931276,0.002541346,0.03072686,0.02749541,0.2851354],"study_design_scores_gemma":[0.0000240939,0.000161207,0.4689003,0.000361836,0.00004745025,0.001796151,0.1624917,0.0001385837,0.0005391341,0.001570655,0.363929,0.00003988311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311181,0.002954212,0.0004309907,0.002675387,0.0001904623,0.00003628348,0.0006642572,0.00006070745,0.06186963],"genre_scores_gemma":[0.8779123,0.002494281,0.0006477941,0.001042168,0.00006104932,0.00003375016,0.0005955685,0.00002878309,0.1171842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2304716,"threshold_uncertainty_score":0.4582602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977602181935699,"score_gpt":0.2626598731030064,"score_spread":0.2428838512836494,"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."}}