{"id":"W4377007445","doi":"10.30790/mnyj/2023/57","title":"Magam vagy magamat?","year":2023,"lang":"hu","type":"article","venue":"Magyar Nyelvjárások","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"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":[0.0008931942,0.000589525,0.000540269,0.0007138236,0.001816154,0.006128303,0.0006762948,0.002017665,0.05993694],"category_scores_gemma":[0.002440803,0.000278207,0.0002814775,0.0005659593,0.003385615,0.005808862,0.003524503,0.002337881,0.01725859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958828,"about_ca_system_score_gemma":0.00117965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002688136,"about_ca_topic_score_gemma":0.003239803,"domain_scores_codex":[0.9991503,0.0002016019,0.00004738398,0.0002307789,0.0002090891,0.0001608862],"domain_scores_gemma":[0.9995847,0.00009645216,0.00006694899,0.00007131422,0.0001115802,0.0000690223],"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":[0.0004724063,0.00007959035,0.002674619,0.0004432517,0.00005533436,0.001818601,0.01079775,0.0003199398,0.004429515,0.6947439,0.1476421,0.1365231],"study_design_scores_gemma":[0.00001939798,0.00003657177,0.002758466,0.0002189294,0.00002247098,0.0009958902,0.006337865,0.0003212059,0.001648098,0.06842544,0.9191812,0.00003457721],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05179171,0.01461509,0.01114405,0.07613924,0.009516288,0.00005766462,0.001530356,0.0009032711,0.8343022],"genre_scores_gemma":[0.6504691,0.007317504,0.006923196,0.009040829,0.002359362,0.00008992288,0.001105565,0.0009441843,0.3217503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05993694,"threshold_uncertainty_score":0.2005091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03572525956125484,"score_gpt":0.2518967629359681,"score_spread":0.2161715033747133,"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."}}