{"id":"W4242149754","doi":"10.1002/div.7822","title":"Polaris Industries Inc.","year":2008,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Diverse Perspectives in Modern Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Las vegas; Engineering; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002205729,0.0002065261,0.0003691342,0.000229584,0.000425252,0.0000315845,0.0003269269,0.0001024819,0.001489836],"category_scores_gemma":[0.0001855566,0.000242262,0.0001161028,0.0002981469,0.0002623502,0.000375419,0.0002623562,0.0002461884,0.002794576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631968,"about_ca_system_score_gemma":0.00002140292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007363443,"about_ca_topic_score_gemma":0.0000177193,"domain_scores_codex":[0.9986568,0.00001645007,0.0003968832,0.0004668657,0.00008746527,0.0003755001],"domain_scores_gemma":[0.9992976,0.00003470752,0.0001950288,0.0003399606,0.00002800319,0.0001046733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002220758,0.0001559017,0.8041769,0.000009067415,0.0003196558,0.00003397733,0.003195199,0.00006659804,0.00001474705,0.1311387,0.06052607,0.0003409013],"study_design_scores_gemma":[0.0010226,0.0001002362,0.4040038,0.00001322103,0.00002533678,0.00001628395,0.001432801,0.0001172818,0.0002883729,0.01598028,0.5761819,0.0008178693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.84878,0.006862557,0.002390588,0.003617272,0.002562929,0.0003287947,0.0004809955,0.0002361547,0.1347407],"genre_scores_gemma":[0.9919736,0.001396912,0.0004023799,0.0002875938,0.0001475641,0.00001649217,0.00001189542,0.00002723493,0.005736316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5156559,"threshold_uncertainty_score":0.9994229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07191238328138207,"score_gpt":0.2345944460884114,"score_spread":0.1626820628070293,"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."}}