{"id":"W4309494747","doi":"10.1371/journal.pone.0277769","title":"Science in motion: A qualitative analysis of journalists’ use and perception of preprints","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Thematic analysis; Misinformation; Public relations; Skepticism; Journalism; Science communication; Politics; Social media; Pandemic; Perception; Preprint; Jargon; Political science; Qualitative research; Sociology; Coronavirus disease 2019 (COVID-19); Psychology; Media studies; Social science; Medicine; World Wide Web; Computer science; Law; Epistemology","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01374064,0.00004315364,0.0002911149,0.001681847,0.000122597,0.0001787801,0.0009239046,0.00002105416,0.001004981],"category_scores_gemma":[0.01068106,0.00003650447,0.00004230625,0.00661057,0.000271471,0.001708216,0.0005292619,0.0002057761,0.000002476722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007018039,"about_ca_system_score_gemma":0.00009179395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003400177,"about_ca_topic_score_gemma":0.00002629018,"domain_scores_codex":[0.9962097,0.000582141,0.0005523619,0.000310412,0.002245442,0.00009988961],"domain_scores_gemma":[0.9979167,0.0008800554,0.0004201315,0.0002847224,0.0004454609,0.00005293415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004277708,0.0005433171,0.9137756,0.000006459771,0.0001035763,8.320058e-7,0.05590787,0.001044894,0.02626923,0.0007164651,0.00007376749,0.001515278],"study_design_scores_gemma":[0.0001526942,0.00003235478,0.9456527,0.00001881362,0.0000967773,6.27114e-7,0.03588035,0.0139745,0.0008223963,0.003306641,0.000007759249,0.00005436668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998765,0.00001633207,0.0002817228,0.0004066342,0.0000164888,0.00007237021,0.00002914296,0.000002960413,0.0004093351],"genre_scores_gemma":[0.9986658,0.0000127007,0.0008950973,0.00003829893,0.000004780894,0.000005127454,0.000001718652,0.000001659166,0.0003748732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03187718,"threshold_uncertainty_score":0.9999082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3390972285114633,"score_gpt":0.46338864186939,"score_spread":0.1242914133579268,"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."}}