{"id":"W4361012827","doi":"10.1177/25152459221144986","title":"The Chinese Open Science Network (COSN): Building an Open Science Community From Scratch","year":2023,"lang":"en","type":"article","venue":"Advances in Methods and Practices in Psychological Science","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Open science; Grassroots; Mainstream; China; Sociology; Political science; Public relations; Media studies; Politics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.009863044,0.0006185537,0.0003292857,0.002539546,0.01240049,0.005689812,0.001854545,0.001958313,0.01302266],"category_scores_gemma":[0.01277164,0.0003974904,0.0006724758,0.002358073,0.00362888,0.01322519,0.01645405,0.002552629,0.002660814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00293105,"about_ca_system_score_gemma":0.02637227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109501,"about_ca_topic_score_gemma":0.01348792,"domain_scores_codex":[0.995619,0.001775914,0.0002032694,0.0005092687,0.001203261,0.0006892174],"domain_scores_gemma":[0.9792386,0.002609272,0.0009068138,0.002463725,0.0038845,0.01089724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003297118,0.0003367831,0.01886815,0.001177571,0.00007496366,0.002097509,0.03879042,0.002011627,0.008610838,0.2395768,0.2845048,0.4036208],"study_design_scores_gemma":[0.00007572011,0.000173332,0.006133772,0.0003495964,0.00004210671,0.000301165,0.01027268,0.004991798,0.001958026,0.0364129,0.9391404,0.0001485176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2489363,0.005048861,0.228378,0.1031292,0.009307053,0.005536425,0.002562086,0.008621917,0.38848],"genre_scores_gemma":[0.7221503,0.004055708,0.1323168,0.008596502,0.001942211,0.004987369,0.005452503,0.00146272,0.119036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9981455,"threshold_uncertainty_score":0.0521614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6851263766474375,"score_gpt":0.7785367102522119,"score_spread":0.09341033360477446,"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."}}