{"id":"W7084121614","doi":"10.64628/aa.afe7vr3f3","title":"Do Inuit languages really have many words for snow? The most interesting finds from our study of 616 languages","year":2025,"lang":"en","type":"article","venue":"","topic":"Synthesis of Tetrazole Derivatives","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Languages of Africa; Subject (documents); Natural language; Exposition (narrative); Feature (linguistics)","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":[0.0004322636,0.0002622983,0.000218682,0.0005242424,0.001864827,0.001797139,0.000436229,0.0003900513,0.01129822],"category_scores_gemma":[0.002120283,0.0001585689,0.0001884383,0.0009145618,0.001636706,0.002392118,0.0007466421,0.001252704,0.001289991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159548,"about_ca_system_score_gemma":0.001097302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01158201,"about_ca_topic_score_gemma":0.03433384,"domain_scores_codex":[0.9994658,0.000176492,0.00002691978,0.00008323377,0.0001235289,0.0001240475],"domain_scores_gemma":[0.9992657,0.0002977588,0.0001151748,0.00008909088,0.000167357,0.0000648289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009223903,0.0004238983,0.04006917,0.001678726,0.0001089006,0.006302276,0.1879084,0.001413645,0.1882873,0.3983401,0.01388957,0.1606557],"study_design_scores_gemma":[0.00004657561,0.0006431153,0.03630919,0.0002763731,0.0001274666,0.004600407,0.2384705,0.002595326,0.118634,0.05825613,0.539907,0.000133861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8257839,0.001277483,0.004237341,0.002675067,0.00008745778,0.00003179562,0.0004775864,0.00007758297,0.1653518],"genre_scores_gemma":[0.9812881,0.0004865616,0.002559149,0.0002699218,0.000009159015,0.00001274175,0.000162944,0.00007043392,0.01514107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01158201,"threshold_uncertainty_score":0.03779626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172343699825009,"score_gpt":0.3234900124293927,"score_spread":0.3017665754311427,"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."}}