{"id":"W41362370","doi":"10.34989/sdp-2010-9","title":"Inventories in ToTEM","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Totem; Projection (relational algebra); Economics; Principal (computer security); Business; Economy; Commerce; Industrial organization; Geography; Computer science; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009217344,0.001082643,0.0008394835,0.002549127,0.002399483,0.006121635,0.002301706,0.001251677,0.02904649],"category_scores_gemma":[0.002911553,0.0006769664,0.00135232,0.005012617,0.001459281,0.00364096,0.001388245,0.002188205,0.004211412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02158584,"about_ca_system_score_gemma":0.02777166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8899599,"about_ca_topic_score_gemma":0.8587388,"domain_scores_codex":[0.9988574,0.0001197082,0.0000504303,0.0001909907,0.0005259781,0.0002555166],"domain_scores_gemma":[0.9990743,0.00006734028,0.00006626598,0.0001200835,0.0005852201,0.00008671055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005264777,0.00001788215,0.002062262,0.00008452834,0.00002967581,0.0001851025,0.0002593736,0.03924529,0.0002502823,0.8829904,0.04741466,0.02740782],"study_design_scores_gemma":[0.00003234359,0.00001868748,0.004541883,0.00025278,0.00003551202,0.0002552317,0.0003278876,0.07534223,0.0005740013,0.2132701,0.7052515,0.00009780731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03950901,0.009859804,0.1691114,0.01037889,0.001817213,0.0004530918,0.08350088,0.001645655,0.683724],"genre_scores_gemma":[0.4846931,0.0153037,0.07077295,0.001615376,0.0004088467,0.0005936929,0.03800737,0.00104122,0.3875637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8899599,"threshold_uncertainty_score":0.2213763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0625337121477524,"score_gpt":0.2351856090539233,"score_spread":0.1726518969061709,"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."}}