{"id":"W4306683093","doi":"10.1515/roms-2022-frontmatter1","title":"Frontmatter","year":2022,"lang":"en","type":"article","venue":"Review of Marketing Science","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Political science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.04165592,0.00007454653,0.0002107595,0.0001126618,0.0003558106,0.00001316164,0.0009951532,0.000003666863,0.01376832],"category_scores_gemma":[0.004692064,0.00006702399,0.00007060311,0.00173969,0.0003419213,0.0001533161,0.0006052874,0.0001233544,0.0009824693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465429,"about_ca_system_score_gemma":0.0002022305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006011793,"about_ca_topic_score_gemma":1.880109e-7,"domain_scores_codex":[0.9969295,0.0008682684,0.0003386138,0.000314844,0.001257813,0.0002909836],"domain_scores_gemma":[0.9987879,0.0002913376,0.0002871784,0.0004610752,0.0001144585,0.00005801241],"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":[0.00006096392,0.0001355688,0.01062813,0.01290161,0.000008500191,0.00001012219,0.0001189108,0.0000333137,0.04021828,0.000261772,0.8658964,0.06972644],"study_design_scores_gemma":[0.0001545509,0.0000453583,0.04747064,0.009076407,0.00003301126,0.00007573061,0.00008367263,0.0005096978,0.0005275064,0.00002879624,0.94171,0.0002846405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1404697,0.258036,0.00004900713,0.003362202,0.0008248292,0.001287795,0.00007821907,0.0002321555,0.5956601],"genre_scores_gemma":[0.9592557,0.005877166,0.01354858,0.01156838,0.0001035579,0.0002575605,0.000008861257,0.0001044366,0.009275734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.818786,"threshold_uncertainty_score":0.9997954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476105935943483,"score_gpt":0.2944912879016321,"score_spread":0.2797302285421973,"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."}}