{"id":"W2971812952","doi":"10.22004/ag.econ.307093","title":"Four Steps to Improved Group Productivity","year":2019,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Anthropology: Ethics, History, Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Group (periodic table); Productivity; Geography; Economics; Chemistry; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006900861,0.0001184527,0.0002696732,0.0001173138,0.0006668783,0.00001319027,0.0005729974,0.0002933457,0.00118474],"category_scores_gemma":[0.0001896828,0.0001507249,0.0001171146,0.0004277701,0.0008946466,0.0003803537,0.000180027,0.000311382,0.0004312258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933351,"about_ca_system_score_gemma":0.0002872249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01092004,"about_ca_topic_score_gemma":0.03326069,"domain_scores_codex":[0.9985217,0.0002466162,0.00009318672,0.0004474714,0.0003650502,0.0003259453],"domain_scores_gemma":[0.9989938,0.00009633569,0.0001489964,0.0003485113,0.0002257664,0.0001866121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001070465,0.001500642,0.1175232,0.000431459,0.0004237129,0.0001195845,0.5004671,0.0001065003,0.05556516,0.1734488,0.1106634,0.03867998],"study_design_scores_gemma":[0.000929945,0.0003918871,0.05129815,0.00004296411,0.00005463925,0.000001861435,0.1279332,0.00005391309,0.00007338871,0.001276365,0.8174601,0.0004835537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9045628,0.00009106579,0.001366836,0.02573139,0.001686706,0.001120241,0.00002944523,0.0001853721,0.0652261],"genre_scores_gemma":[0.9469721,0.00001730982,0.003904631,0.0002453185,0.000222442,4.986651e-7,0.000003724578,0.0000112785,0.04862274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7067968,"threshold_uncertainty_score":0.9997283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474044616554114,"score_gpt":0.2644438386654179,"score_spread":0.2397033924998768,"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."}}