{"id":"W2104137131","doi":"10.1177/0894845310384593","title":"Using the Self-Directed Search in Research","year":2011,"lang":"en","type":"article","venue":"Journal of Career Development","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Psychology; Construct (python library); Item response theory; Confirmatory factor analysis; Psychometrics; Construct validity; Test validity; Social psychology; Item analysis; Developmental psychology; Statistics; Structural equation modeling; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0556961,0.00008401947,0.0002684522,0.00148785,0.0001984385,0.0001273833,0.001353476,0.00005938462,0.0001988939],"category_scores_gemma":[0.02676304,0.00004322818,0.00006608634,0.004013042,0.00007239525,0.0001720872,0.0002895262,0.0006413771,0.00001641198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000237645,"about_ca_system_score_gemma":0.000887935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000517634,"about_ca_topic_score_gemma":0.00002199954,"domain_scores_codex":[0.9936002,0.001640089,0.001070889,0.0001857054,0.003108294,0.0003947869],"domain_scores_gemma":[0.9865709,0.01046915,0.0003302552,0.0003156669,0.002192149,0.0001219059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001427085,0.0001896246,0.7045145,0.000009127759,0.00009424562,0.0002979156,0.04051039,0.0001486273,0.000592344,0.0001935304,0.006911499,0.2463955],"study_design_scores_gemma":[0.0004017862,0.00008691353,0.970082,0.00007080875,0.000004331755,0.0001834653,0.009392058,0.0007906931,0.002488887,0.004626162,0.01176152,0.0001113945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888684,0.0004872419,0.001916092,0.0002404814,0.0006434228,0.0001105505,2.120707e-7,0.00001761636,0.007716013],"genre_scores_gemma":[0.6973163,0.00002213394,0.3024016,0.00003961081,0.0000733927,0.000001255041,3.186479e-8,0.000006063038,0.0001395619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3004855,"threshold_uncertainty_score":0.9814349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9420385114053806,"score_gpt":0.5890046795798196,"score_spread":0.353033831825561,"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."}}