{"id":"W4408656734","doi":"10.54434/candj.203","title":"A year of big changes at CANDJ","year":2025,"lang":"en","type":"article","venue":"CAND Journal","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001024787,0.0000294781,0.0000969249,0.00005686131,0.00004004796,0.000003901246,0.00003770786,0.000023457,0.0001441534],"category_scores_gemma":[0.00004361122,0.00002098026,0.00002801266,0.00008535659,0.00006117371,0.000004181662,0.00001877959,0.0001082257,0.00000223201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003529283,"about_ca_system_score_gemma":0.0000958217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001941309,"about_ca_topic_score_gemma":0.00001336802,"domain_scores_codex":[0.9997122,0.000005444298,0.00009666238,0.00004128603,0.00007619966,0.00006816599],"domain_scores_gemma":[0.9997361,0.00001195169,0.00003828416,0.0000823513,0.00005268502,0.00007857709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001037889,0.0001204188,0.03014092,0.0001558902,0.00009263724,0.00004502893,0.0001843963,2.8482e-7,0.08446214,0.005701514,0.7913482,0.08764485],"study_design_scores_gemma":[0.001670859,0.0001595321,0.009494622,0.000574823,0.0001454346,0.0003763264,0.0001364646,0.0001415325,0.06506846,0.001719315,0.9204367,0.00007596114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.822578,0.001525555,0.007788349,0.1157137,0.0004078514,0.0002841275,0.00001556772,0.00006394881,0.05162292],"genre_scores_gemma":[0.9853426,0.0004700334,0.002276411,0.001225339,0.0001787964,0.000006261327,0.000002113161,0.000004180566,0.0104943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1627646,"threshold_uncertainty_score":0.1578379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658114852029651,"score_gpt":0.3319077719018216,"score_spread":0.3053266233815251,"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."}}