{"id":"W2137677251","doi":"10.1111/pere.12053","title":"Enhancing transparency of the research process to increase accuracy of findings: A guide for relationship researchers","year":2014,"lang":"en","type":"article","venue":"Personal Relationships","topic":"Attachment and Relationship Dynamics","field":"Psychology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Transparency (behavior); Process (computing); Field (mathematics); Open science; Computer science; Psychology; Data science; Management science; Engineering ethics; Engineering; Computer security; Mathematics","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5706929,0.002649993,0.003694352,0.0115431,0.009604688,0.02534132,0.009981068,0.01436352,0.005216245],"category_scores_gemma":[0.6277123,0.00478056,0.003962358,0.00723374,0.02220788,0.02759831,0.01639776,0.02550213,0.007176579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01240102,"about_ca_system_score_gemma":0.06135841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004583542,"about_ca_topic_score_gemma":0.009974926,"domain_scores_codex":[0.3266769,0.5887893,0.04136167,0.006476228,0.03321534,0.003480507],"domain_scores_gemma":[0.1654621,0.6134821,0.03108578,0.07596137,0.09959012,0.01441852],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005877036,0.00173216,0.006775991,0.006793234,0.0002673771,0.001908085,0.276131,0.001914437,0.006825632,0.05878039,0.1237619,0.5145222],"study_design_scores_gemma":[0.001202696,0.001585373,0.008566729,0.0207969,0.0003628658,0.002847191,0.1191429,0.008258244,0.01087359,0.2290381,0.5961889,0.001136454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01740191,0.006797138,0.6953717,0.2159906,0.002809882,0.03009653,0.0005004823,0.006180261,0.0248515],"genre_scores_gemma":[0.02370264,0.002584906,0.9387985,0.008382366,0.0003602071,0.02263679,0.00009274152,0.0004082801,0.003033529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4293071,"threshold_uncertainty_score":0.5294122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2301429514916172,"score_gpt":0.5074061784607283,"score_spread":0.2772632269691112,"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."}}