{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004857043,0.00042679,0.0005087423,0.0004816726,0.001377966,0.0004166341,0.003847021,0.0004562523,0.2349285],"category_scores_gemma":[0.001195818,0.000475438,0.0001608176,0.0008520138,0.0006738997,0.0003214683,0.000986043,0.001735814,0.001042071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000346308,"about_ca_system_score_gemma":0.0006232134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01945379,"about_ca_topic_score_gemma":0.01202588,"domain_scores_codex":[0.9932613,0.001357716,0.0006390825,0.001029716,0.002558112,0.001154048],"domain_scores_gemma":[0.9961084,0.001114163,0.0003592733,0.001950862,0.00009794529,0.0003693392],"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":[0.00002447513,0.0001496276,0.000009071418,0.00007572965,0.00005379925,0.0002108352,0.0001347335,3.498283e-7,0.000008149832,0.00009395662,0.9985286,0.0007106974],"study_design_scores_gemma":[0.0001678837,0.00007491771,0.00000366219,0.00004032557,0.0000568829,0.000009926637,0.001518488,0.000001292689,0.000005633813,0.0003760826,0.9972065,0.0005384086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002639798,0.0006992072,0.000003987076,0.003462553,0.001106246,0.0008981306,0.9917722,0.0001579986,0.001897068],"genre_scores_gemma":[0.000004049064,0.001318412,0.0001989959,0.0008403261,0.0006928662,0.0005561656,0.9959003,0.00003841169,0.0004504179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2338864,"threshold_uncertainty_score":0.9999221,"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."}}