{"id":"W4318256456","doi":"10.1017/iop.2022.72","title":"Opening a “closed door”: A call for nuance in discussions of open science","year":2022,"lang":"en","type":"article","venue":"Industrial and Organizational Psychology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Call to action; Content (measure theory); Action (physics); Psychology; Advertising; Computer science; Business; 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":["metaresearch","bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.01435511,0.00007227968,0.0002371477,0.01244871,0.0005286154,0.0004907897,0.003570035,0.00006200191,0.0009783388],"category_scores_gemma":[0.02406107,0.00005238095,0.0000246304,0.1048936,0.0003498595,0.0003854362,0.002704359,0.0002352028,0.000005101504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006841546,"about_ca_system_score_gemma":0.0005991869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006332291,"about_ca_topic_score_gemma":0.00002362547,"domain_scores_codex":[0.9960264,0.0002086663,0.0005543947,0.0006456336,0.002258622,0.000306302],"domain_scores_gemma":[0.9967557,0.001624942,0.0002113584,0.000300089,0.0009533553,0.0001545852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001593907,0.001056039,0.6819929,0.000003295488,0.00002147142,0.00001478041,0.0009618385,0.0006117213,0.02019034,0.08849037,0.07745825,0.1276051],"study_design_scores_gemma":[0.01448957,0.00318834,0.6422535,0.00002043432,0.0000129322,0.00007194195,0.00204219,0.004747499,0.002006598,0.1679652,0.1626088,0.0005929514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97763,0.0001175006,0.001927818,0.01420577,0.001225431,0.001047064,0.0002671924,0.000006971979,0.003572206],"genre_scores_gemma":[0.9979227,0.000009282626,0.0008097548,0.0003616863,0.00006321947,0.00003908208,0.000009951515,0.000006337862,0.0007779403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270122,"threshold_uncertainty_score":0.9999349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7030676785218101,"score_gpt":0.6271971466744402,"score_spread":0.07587053184736992,"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."}}