{"id":"W2989566016","doi":"10.3386/w26485","title":"The Specialness of Zero","year":2019,"lang":"es","type":"report","venue":"National Bureau of Economic Research","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Zero (linguistics); Psychology; Linguistics; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0007691471,0.0003979093,0.0006014901,0.0005988745,0.0009576352,0.002906019,0.000974455,0.001425221,0.009629627],"category_scores_gemma":[0.002377834,0.0003222583,0.0008059408,0.0004874269,0.004696096,0.00367781,0.002748233,0.001807079,0.0008056356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280867,"about_ca_system_score_gemma":0.0008242253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001587702,"about_ca_topic_score_gemma":0.001118719,"domain_scores_codex":[0.9992514,0.0002292666,0.00002627383,0.0001561878,0.0001369308,0.0001997497],"domain_scores_gemma":[0.9990129,0.0003453979,0.0002114031,0.0001702048,0.00008603589,0.0001740823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004573755,0.00002135361,0.0004166557,0.0000208145,0.000006841805,0.0001504949,0.0002215778,0.005264426,0.000540568,0.9902849,0.0006662693,0.002360378],"study_design_scores_gemma":[0.00003277356,0.00005555996,0.0003799944,0.00002522402,0.0000119909,0.0001844465,0.0002337799,0.02942592,0.000397983,0.9625452,0.00669017,0.00001704985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4598722,0.0007503484,0.1911792,0.00586439,0.0001755284,0.00008998709,0.0002195572,0.0002298605,0.341619],"genre_scores_gemma":[0.9897209,0.0001218911,0.00367165,0.0001231345,0.00002314303,0.00001907845,0.00002109815,0.00001255963,0.006286565],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009629627,"threshold_uncertainty_score":0.03221434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3212448630365803,"score_gpt":0.4593121346459159,"score_spread":0.1380672716093356,"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."}}