{"id":"W4313303987","doi":"10.32920/ifmj.v2i4.1699","title":"Between Physical and Virtual Territories","year":2022,"lang":"en","type":"article","venue":"Interactive Film and Media Journal","topic":"Education and Digital Technologies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fundação de Amparo à Pesquisa e Inovação do Espírito Santo","keywords":"Metropolitan area; Multidisciplinary approach; Dissemination; Scope (computer science); Population; Work (physics); Visibility; Geography; Field research; Regional science; Sociology; Public relations; Political science; Computer science; Social science; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0018991,0.0003557978,0.0004724627,0.001045132,0.005216222,0.0140798,0.001003543,0.001495798,0.0187203],"category_scores_gemma":[0.003813744,0.0003644363,0.0004573639,0.001379227,0.02253237,0.009582642,0.01444682,0.001826958,0.00136397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003274518,"about_ca_system_score_gemma":0.003126044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006769078,"about_ca_topic_score_gemma":0.00745338,"domain_scores_codex":[0.99604,0.00226144,0.0001029307,0.0005784001,0.000490005,0.0005272051],"domain_scores_gemma":[0.9986234,0.0005980225,0.0001480003,0.0003072393,0.00009713793,0.0002262461],"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":[0.00001476617,0.00001217615,0.0006661132,0.00005732157,0.000006974491,0.000168845,0.01028241,0.0001962902,0.0001673524,0.9757818,0.001384555,0.01126121],"study_design_scores_gemma":[0.00002601414,0.00006226796,0.003134056,0.0005618718,0.00002888122,0.0009405297,0.04298641,0.0007877389,0.0002933857,0.3583062,0.5928395,0.00003300681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05002243,0.005003305,0.03755314,0.006840296,0.0004379919,0.0001512472,0.0001271701,0.00008749734,0.8997769],"genre_scores_gemma":[0.9391841,0.001695915,0.009785056,0.0009295314,0.0001227529,0.0002141873,0.00008845513,0.00005936241,0.04792076],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0187203,"threshold_uncertainty_score":0.06262565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725750393146066,"score_gpt":0.3430782003726374,"score_spread":0.3158206964411767,"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."}}