{"id":"W2610651153","doi":"10.5617/osla.4420","title":"Negation in Hamar","year":2017,"lang":"en","type":"article","venue":"Oslo Studies in Language","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Negation; Linguistics; Morpheme; Agreement; Interrogative; Subject (documents); Psychology; Mathematics; Computer science; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00102932,0.0004123008,0.0003787211,0.0008056375,0.001760798,0.002998891,0.0003800602,0.0006780489,0.004907473],"category_scores_gemma":[0.001727281,0.0001686563,0.0004364355,0.0006118717,0.002677819,0.003747898,0.00221954,0.000872422,0.001213935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255171,"about_ca_system_score_gemma":0.0004729872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008233764,"about_ca_topic_score_gemma":0.0007328685,"domain_scores_codex":[0.9988552,0.0005957821,0.00007102098,0.0001643197,0.0001771745,0.0001365073],"domain_scores_gemma":[0.9991567,0.000391709,0.0001374361,0.00007559254,0.0002021148,0.00003642394],"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":[0.0002272892,0.00003673762,0.003135402,0.0004673801,0.00003446917,0.002106996,0.02296241,0.000297118,0.01437509,0.9046203,0.003766678,0.0479701],"study_design_scores_gemma":[0.00007139691,0.0003665948,0.01101742,0.0005923967,0.000150918,0.008805413,0.03821303,0.003473159,0.02024323,0.4406593,0.4762374,0.0001696405],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4160952,0.01634314,0.05328304,0.004171203,0.00128331,0.00008257529,0.0003407602,0.0004146205,0.5079861],"genre_scores_gemma":[0.9820496,0.001454796,0.004395355,0.0008273843,0.0001991627,0.00003251254,0.0001948495,0.00005651927,0.0107898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004907473,"threshold_uncertainty_score":0.01641709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06044724428833485,"score_gpt":0.3278088561931796,"score_spread":0.2673616119048448,"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."}}