{"id":"W2109612233","doi":"10.5539/cis.v7n4p82","title":"The Territorial Intelligence Process: Ecology of Communication for Development of Hybrid Territories","year":2014,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Computer science; Field (mathematics); Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002302502,0.00003322423,0.00006298217,0.00009361162,0.001177022,0.00006284512,0.0004150817,0.00002540752,0.000001409759],"category_scores_gemma":[0.0004605279,0.0000252017,0.00001022977,0.000184862,0.001124167,0.001873874,0.00006135958,0.00004882536,0.000001819456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001827782,"about_ca_system_score_gemma":0.0002207606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001069215,"about_ca_topic_score_gemma":0.00002318653,"domain_scores_codex":[0.9993187,0.00002870834,0.0003261148,0.00003860607,0.0001804883,0.0001073955],"domain_scores_gemma":[0.9989479,0.0002336973,0.0002528211,0.00009798086,0.0004469862,0.00002062321],"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":[0.00001379865,0.000006935601,0.001053936,0.0000339636,0.00000308774,1.665996e-9,0.0561754,0.0002360338,0.00001063399,0.4831936,0.00008562211,0.4591869],"study_design_scores_gemma":[0.0004499892,0.0002783056,0.01097038,0.00009309948,0.000006995386,0.000002389798,0.01732301,0.1121031,0.02621344,0.02410514,0.8082022,0.0002518797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1932755,0.00002554422,0.7990153,0.0007353853,0.001271721,0.000392542,0.000002166891,0.00005110975,0.005230792],"genre_scores_gemma":[0.9903648,0.00001679441,0.009506645,0.00004416404,0.00004578185,0.00001285775,0.000003651511,5.353667e-7,0.000004734418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8081166,"threshold_uncertainty_score":0.9052824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346490220149854,"score_gpt":0.3036042386554469,"score_spread":0.2901393364539483,"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."}}