{"id":"W4312339053","doi":"10.2139/ssrn.4227316","title":"Sequential Private Experimentation Under Conclusive Bad News","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Psychology; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007616774,0.000155096,0.00013893,0.0001052129,0.0005510533,0.0003185132,0.000533946,0.0000647046,0.00002978078],"category_scores_gemma":[0.00002160451,0.000141834,0.00008978153,0.0002343325,0.00009698563,0.0005072529,0.0001429622,0.0007141784,0.0001053251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007350422,"about_ca_system_score_gemma":0.001135097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006332361,"about_ca_topic_score_gemma":0.0001881865,"domain_scores_codex":[0.9973986,0.0001289137,0.0002649773,0.0002944925,0.0003088674,0.001604143],"domain_scores_gemma":[0.9992406,0.00002723031,0.0001815327,0.000308018,0.0001394986,0.0001031334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003380724,0.00005379439,0.0002362551,0.000002166016,0.0001413691,0.00001253681,0.00241666,0.0001628931,0.06064098,0.8669657,0.0004460195,0.06888781],"study_design_scores_gemma":[0.003370256,0.001985378,0.000593084,0.00009033571,0.00006209275,0.004104657,0.005744212,0.01598571,0.1376732,0.8192087,0.01010552,0.001076841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2914152,0.0003715985,0.7054906,0.0008508105,0.0006351953,0.00007354738,1.600815e-7,0.00007814461,0.001084751],"genre_scores_gemma":[0.9949304,0.0001459519,0.002840629,0.0005904507,0.0008601375,0.000002675793,0.000001106415,0.00001627211,0.0006123064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7035152,"threshold_uncertainty_score":0.5783823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144760572455709,"score_gpt":0.2728741377330217,"score_spread":0.2614265320084646,"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."}}