{"id":"W3179326071","doi":"10.21580/prosperity.2021.1.1.8264","title":"Economic Recovery Through Community Empowerment to Reduce Impact of the Covid-19","year":2021,"lang":"en","type":"article","venue":"Prosperity Journal of Society and Empowerment","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empowerment; Quarter (Canadian coin); Government (linguistics); Pandemic; Coronavirus disease 2019 (COVID-19); Business; Economic growth; Public relations; Marketing; Political science; Geography; Economics","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":[0.001484828,0.000269286,0.0001545092,0.000683475,0.00301737,0.001820916,0.0005333412,0.0005770942,0.007844472],"category_scores_gemma":[0.002528346,0.00007687381,0.0002343346,0.000451035,0.002432995,0.001455491,0.006357833,0.0009196812,0.000426218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543896,"about_ca_system_score_gemma":0.009023516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004493644,"about_ca_topic_score_gemma":0.0144647,"domain_scores_codex":[0.9988613,0.0005304762,0.00001679344,0.00004929983,0.00009345922,0.0004486222],"domain_scores_gemma":[0.9989882,0.0002102552,0.0001696025,0.00005240584,0.0001190636,0.0004604983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003008688,0.001711235,0.07313881,0.001412224,0.0001008823,0.003919816,0.08345602,0.002394686,0.006528979,0.1793887,0.05599001,0.5916577],"study_design_scores_gemma":[0.0001347367,0.0007975447,0.1498479,0.002080888,0.0000753857,0.0007371293,0.2474684,0.002715978,0.00249495,0.05980779,0.5337808,0.00005852374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6725519,0.001925103,0.007651757,0.03848784,0.0004177895,0.0005931228,0.0001494396,0.0001296559,0.2780934],"genre_scores_gemma":[0.988452,0.0006356623,0.001689739,0.0008541038,0.00003151749,0.00009237491,0.00003546393,0.000008666913,0.008200496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007844472,"threshold_uncertainty_score":0.02624238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04195656908047689,"score_gpt":0.3500496832445825,"score_spread":0.3080931141641056,"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."}}