{"id":"W1512883065","doi":"10.1371/journal.pone.0129706","title":"A Delphi Technology Foresight Study: Mapping Social Construction of Scientific Evidence on Metagenomics Tests for Water Safety","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Genome British Columbia; Genome Canada","keywords":"Metagenomics; Delphi method; Futures studies; Biology; Data science; Computer science; Genetics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004190328,0.00009939184,0.000277729,0.0004942973,0.0006739768,0.00009045609,0.0005542782,0.0001600615,0.00002531142],"category_scores_gemma":[0.002351409,0.00008712864,0.00005316524,0.0006967929,0.001096774,0.0002135582,0.000158563,0.0001774755,0.00002544592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152641,"about_ca_system_score_gemma":0.0003193351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001465385,"about_ca_topic_score_gemma":0.0003768161,"domain_scores_codex":[0.9977376,0.0002023228,0.0003345309,0.0003453929,0.0009495573,0.0004305317],"domain_scores_gemma":[0.9983047,0.0002949377,0.0001187071,0.0002823627,0.000915358,0.0000838952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001819508,0.01062913,0.07527114,0.0006455509,0.001353241,0.00003240905,0.1437655,0.00001862371,0.5906183,0.1297027,0.005803288,0.04034067],"study_design_scores_gemma":[0.002722317,0.002836233,0.002334657,0.0007859881,0.0004279719,0.0000029086,0.08634882,0.0004562503,0.7235537,0.1670623,0.01248751,0.0009813244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901131,0.00004315679,0.0008494931,0.005688945,0.0001201654,0.002072044,0.00001406939,0.0001622621,0.0009367201],"genre_scores_gemma":[0.9843283,0.00001089781,0.0148964,0.00001489642,0.0001297709,0.0002245601,0.000003456776,0.00001524938,0.0003764789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1329355,"threshold_uncertainty_score":0.5183753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.498442093089383,"score_gpt":0.4404989538010399,"score_spread":0.0579431392883431,"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."}}