{"id":"W7025384074","doi":"","title":"Twitter como herramienta de paradiplomacia: un estudio cuantitativo exploratorio basado en los casos de Quebec y Cataluña","year":2017,"lang":"es","type":"other","venue":"Universidad de Chile","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Field (mathematics); Vulnerability (computing); Domain (mathematical analysis); Work (physics)","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":[0.002652925,0.0004861258,0.0005083888,0.003242701,0.005784087,0.006131454,0.001150728,0.000834124,0.005947355],"category_scores_gemma":[0.007666052,0.0003215034,0.0003007373,0.008620017,0.002630344,0.003165131,0.003011523,0.001102326,0.0008937995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02076931,"about_ca_system_score_gemma":0.01510698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9229663,"about_ca_topic_score_gemma":0.9512663,"domain_scores_codex":[0.997554,0.0008668258,0.00009019258,0.0003327095,0.0006304241,0.0005259261],"domain_scores_gemma":[0.9914181,0.002489528,0.001026053,0.0004670538,0.003856286,0.0007429333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002864256,0.0001165135,0.5618526,0.0008316916,0.0001427631,0.001138507,0.3311342,0.0005498296,0.001230996,0.006669991,0.02965038,0.06639612],"study_design_scores_gemma":[0.0000151566,0.00006062223,0.4452676,0.0005868123,0.00009305311,0.0001171653,0.4650401,0.00114548,0.0005530021,0.0004642293,0.08658601,0.00007066003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546298,0.002017896,0.001168202,0.003166575,0.0001133811,0.0002555801,0.004132376,0.00006579419,0.03445047],"genre_scores_gemma":[0.9808794,0.0012103,0.000730657,0.0005666824,0.00003045794,0.0001930778,0.001377655,0.00005141957,0.01496042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0770337,"threshold_uncertainty_score":0.1549747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271407266940579,"score_gpt":0.3176715932672772,"score_spread":0.2949575205978714,"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."}}