{"id":"W4405127347","doi":"10.1371/journal.pone.0313541","title":"Development of a novel methodology for ascertaining scientific opinion and extent of agreement","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Universität Wien; Durham University; University of Birmingham; British Society for the Philosophy of Science; Arts and Humanities Research Council; University College London; Helsingin Yliopisto; John Templeton Foundation","keywords":"Likert scale; Statement (logic); Scale (ratio); Public relations; Institution; Public opinion; Point (geometry); Computer science; Political science; Psychology; Law; Mathematics; Physics","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":[0.001907437,0.00003530555,0.0001091835,0.0001063956,0.0001279568,0.00003629526,0.00005735588,0.00002843662,0.00006308623],"category_scores_gemma":[0.0004159433,0.0000315223,0.00001773434,0.0001447187,0.0001011035,0.0001046777,0.00002437534,0.00002282819,0.000002242705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002957452,"about_ca_system_score_gemma":0.0002383862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002440438,"about_ca_topic_score_gemma":0.00005347408,"domain_scores_codex":[0.9992988,0.00002827458,0.0002162506,0.00008224211,0.0002624837,0.0001119798],"domain_scores_gemma":[0.9995776,0.0001647033,0.00006310964,0.0000505878,0.00009728683,0.00004665494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000409496,0.0006553627,0.00007506374,0.00136553,0.0002523565,8.268515e-8,0.5627223,0.000006032128,0.1828226,0.1124971,0.000471164,0.1390915],"study_design_scores_gemma":[0.003403534,0.000719402,0.008689632,0.005397221,0.0002912675,0.000001454696,0.1474195,0.0217684,0.6374939,0.003676933,0.1702968,0.0008420033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716785,0.0003856668,0.02236787,0.0006157996,0.0002622321,0.000449012,0.00001335313,0.00002282236,0.004204734],"genre_scores_gemma":[0.7137784,0.00004274797,0.2852091,0.00003083928,0.00003656727,0.000007848756,0.000008358114,0.000003539071,0.0008826217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4546714,"threshold_uncertainty_score":0.1285442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4469872818648653,"score_gpt":0.41885476173243,"score_spread":0.02813252013243528,"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."}}