{"id":"W3182283628","doi":"10.12795/ambitos.2021.i53.10","title":"Emociones positivas y marketing social en el Facebook de las ONGDs.","year":2021,"lang":"es","type":"article","venue":"Ámbitos Revista Internacional de Comunicación","topic":"Communication and COVID-19 Impact","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Political science; Art","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":[0.002640239,0.0004137904,0.0002870727,0.001836482,0.001451173,0.003763838,0.0002836258,0.0006786288,0.005283694],"category_scores_gemma":[0.007518091,0.0001785842,0.0003450165,0.001232133,0.001658245,0.003286831,0.002272363,0.0007988933,0.0009617043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155701,"about_ca_system_score_gemma":0.0009051813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004115212,"about_ca_topic_score_gemma":0.007680696,"domain_scores_codex":[0.997867,0.001154004,0.0001035378,0.0001889232,0.0005359818,0.0001505474],"domain_scores_gemma":[0.9933032,0.003869474,0.001155034,0.0003350819,0.0008636174,0.0004736524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005213044,0.0002217549,0.4220197,0.001705297,0.0001326962,0.0008363037,0.2455175,0.0002833829,0.005700334,0.03568811,0.01383262,0.273541],"study_design_scores_gemma":[0.00002324452,0.0002518408,0.591241,0.001445624,0.000214691,0.001109182,0.1635077,0.001297035,0.002433975,0.01162045,0.2267127,0.0001426013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.88657,0.003711602,0.003277679,0.002802443,0.0002954903,0.0001633835,0.0009151249,0.00009744032,0.1021667],"genre_scores_gemma":[0.9809234,0.001909474,0.002420001,0.0006041244,0.0001176542,0.0001666754,0.0003786661,0.00003559852,0.01344448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005283694,"threshold_uncertainty_score":0.0176757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414596928755623,"score_gpt":0.3844842213532645,"score_spread":0.3603382520657083,"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."}}