{"id":"W4405816804","doi":"10.69704/jhaesi.116.2004.1939","title":"Tel Ḥaẓor — 2011","year":2012,"lang":"en","type":"article","venue":"Ḥadašŵt ʾarkeyŵlŵgiyŵt.","topic":"Archaeology and Historical Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0006576746,0.0005428277,0.0002774802,0.0007275573,0.002722526,0.002257875,0.0008906527,0.0008831501,0.2113939],"category_scores_gemma":[0.0004991531,0.0004011692,0.0001927429,0.0007344857,0.0005366584,0.0009602793,0.001912907,0.001011725,0.06203502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002769352,"about_ca_system_score_gemma":0.003687606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02477376,"about_ca_topic_score_gemma":0.1182321,"domain_scores_codex":[0.9995211,0.00002844334,0.00001236571,0.00007212308,0.0002076635,0.0001582115],"domain_scores_gemma":[0.9997635,0.00001302058,0.00002208438,0.00002567208,0.000096065,0.00007971196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001497231,0.0002730984,0.00877517,0.0006226089,0.00003009802,0.002099566,0.002131658,0.0004231247,0.006955405,0.009078322,0.736629,0.2314847],"study_design_scores_gemma":[0.00003892304,0.0001470311,0.02659504,0.00008582827,0.000004462428,0.0004888916,0.001332324,0.0001780849,0.001441726,0.0003114131,0.9693562,0.00002002414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.132286,0.002768446,0.00156068,0.004330511,0.003326559,0.0006792159,0.01511392,0.00126323,0.8386714],"genre_scores_gemma":[0.08709157,0.0008197267,0.001252218,0.0004305001,0.0002500157,0.00009638943,0.005963813,0.0002588764,0.9038369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2113939,"threshold_uncertainty_score":0.7071832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04903470243999928,"score_gpt":0.2176757518894067,"score_spread":0.1686410494494074,"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."}}