{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006821268,0.0001461136,0.0002254687,0.000446645,0.0008014417,0.00002050271,0.0005148787,0.000252367,0.0001434678],"category_scores_gemma":[0.02116536,0.0001181101,0.000176126,0.001467427,0.0003005936,0.0001538283,0.00005283869,0.0009212514,0.00004957831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001185906,"about_ca_system_score_gemma":0.0002904385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001494794,"about_ca_topic_score_gemma":0.0003033066,"domain_scores_codex":[0.996505,0.001184125,0.0007280386,0.0003656783,0.0007740593,0.0004430857],"domain_scores_gemma":[0.9863668,0.01208584,0.0002094725,0.0004581981,0.0007202796,0.0001594223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002871063,0.000172607,0.8024564,0.000204066,0.00006783076,2.427516e-7,0.03640247,0.0004955831,0.0008678668,0.157143,0.001405792,0.0004969881],"study_design_scores_gemma":[0.001055005,0.000248903,0.9562916,0.0003598795,0.00009078986,0.00000432683,0.009814607,0.003035726,0.0004053615,0.02535121,0.003107027,0.0002355527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490583,0.000153238,0.0219378,0.002995234,0.0001985051,0.001469047,0.00006684119,0.00003009165,0.02409095],"genre_scores_gemma":[0.9893405,0.00000240168,0.002032675,0.00003067392,0.00009010007,0.0002903708,0.00003224155,0.00003173388,0.008149345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1538352,"threshold_uncertainty_score":0.9870798,"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."}}