{"id":"W2936085827","doi":"","title":"АЛАН БАКУР ИЗ ДРЕВНЕЙ ИБЕРИИ","year":2010,"lang":"ru","type":"article","venue":"Российская археология","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artifact (error); Quarter (Canadian coin); History; Ancient history; Archaeology; Classics; Art; Computer science; Artificial intelligence","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":[0.001490371,0.000315655,0.0002024342,0.001532815,0.003628253,0.005281246,0.0004971019,0.0009802628,0.01897743],"category_scores_gemma":[0.003818192,0.0004022194,0.0002084495,0.001443743,0.005136048,0.001846323,0.001575372,0.00185006,0.007552446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002612487,"about_ca_system_score_gemma":0.002682739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00812896,"about_ca_topic_score_gemma":0.01643987,"domain_scores_codex":[0.9980877,0.000351302,0.00009783386,0.0003332817,0.0009462468,0.000183637],"domain_scores_gemma":[0.9986603,0.0002937407,0.0001584372,0.0003191814,0.0004545269,0.0001137649],"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":[0.00007118544,0.00003009456,0.001745393,0.0001247666,0.00001154324,0.0005021938,0.01086987,0.0001765811,0.004357185,0.8155407,0.01410248,0.152468],"study_design_scores_gemma":[0.000008126578,0.00001814649,0.002543978,0.00008651081,0.00000962621,0.0004023347,0.002029977,0.00008669218,0.002513114,0.03609419,0.9561859,0.00002152082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04330582,0.006894652,0.01830667,0.004705887,0.001021159,0.00009067755,0.0002866183,0.0002149317,0.9251736],"genre_scores_gemma":[0.6938205,0.005293935,0.02214287,0.000560044,0.0004939944,0.0001419441,0.0002277958,0.0002840931,0.2770348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01897743,"threshold_uncertainty_score":0.06348586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270095256438568,"score_gpt":0.2246950589192969,"score_spread":0.2119941063549112,"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."}}