{"id":"W7087134861","doi":"10.5281/zenodo.17306133","title":"PaleoIPSL/PyAnalySeries: v5.28","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003278099,0.003834765,0.002026317,0.003496753,0.0009933615,0.006091938,0.005448453,0.002218996,0.3680225],"category_scores_gemma":[0.008304167,0.003140035,0.002056545,0.002732387,0.0008922673,0.004727983,0.005349128,0.003858907,0.3115339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385992,"about_ca_system_score_gemma":0.001706603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006090751,"about_ca_topic_score_gemma":0.004671528,"domain_scores_codex":[0.998327,0.0002300611,0.0001430588,0.0003444695,0.0007410629,0.0002143295],"domain_scores_gemma":[0.9977284,0.0007044212,0.0001137997,0.0006512287,0.0005759281,0.0002262825],"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":[0.0003544576,0.00007006841,0.000507108,0.0006154182,0.00008496377,0.0001733147,0.0002619413,0.001947894,0.001784851,0.007776208,0.9115892,0.07483473],"study_design_scores_gemma":[0.000212971,0.00003321941,0.0007573838,0.000175573,0.00004031965,0.0002306014,0.00005650699,0.01167199,0.00747752,0.01432783,0.9648838,0.0001322279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.000701608,0.0002592262,0.1103938,0.0002700606,0.0002677796,0.00009675461,0.0455662,0.8165821,0.02586245],"genre_scores_gemma":[0.01414978,0.0004973239,0.07242787,0.0004163937,0.0001993496,0.0005407918,0.1433372,0.6897793,0.07865207],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3680225,"threshold_uncertainty_score":0.9014392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943156850612729,"score_gpt":0.2493594013288273,"score_spread":0.2099278328227001,"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."}}