{"id":"W4399494718","doi":"10.1037/e501472024-001","title":"2022 CONA Meeting Minutes Quarter 1","year":2022,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; History; Archaeology","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":[0.002987015,0.00310944,0.001826905,0.004700765,0.001302303,0.003806195,0.002540918,0.002184804,0.1552162],"category_scores_gemma":[0.01311633,0.0009291136,0.001987471,0.005953989,0.0006435319,0.001700474,0.002862558,0.002568971,0.244052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678669,"about_ca_system_score_gemma":0.004124525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02527359,"about_ca_topic_score_gemma":0.05494759,"domain_scores_codex":[0.9976627,0.0004897179,0.0002092057,0.0005934534,0.0006769918,0.0003680007],"domain_scores_gemma":[0.9940256,0.001352636,0.0002727933,0.001720385,0.001780097,0.0008485198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002073902,0.000009863938,0.0001493708,0.00009738097,0.00000575218,0.000003732798,0.000005806098,0.00005794252,0.00003588436,0.0001111144,0.9983227,0.001179755],"study_design_scores_gemma":[0.0003102242,0.00003148061,0.002621223,0.0002043811,0.0000218469,0.00002578513,0.0001080703,0.0008937794,0.0003191641,0.001285022,0.9941554,0.0000235029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001454882,0.00004218955,0.0001010723,0.0001847934,0.000116018,0.00003628683,0.9970886,0.0008961232,0.001389524],"genre_scores_gemma":[0.0002774205,0.0000338284,0.0004106112,0.00008416401,0.00001730731,0.0001338658,0.9970573,0.0001623977,0.001823087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1552162,"threshold_uncertainty_score":0.51925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094391658946929,"score_gpt":0.4531649854955872,"score_spread":0.3437258196008943,"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."}}