{"id":"W1146021766","doi":"","title":"ANDSCAPE: Marta á Góðafoss","year":2015,"lang":"is","type":"article","venue":"The Goose","topic":"Archaeological and Historical Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000334275,0.0002164122,0.0002966332,0.00002328738,0.001069525,0.0000889507,0.0003869427,0.00006369415,0.00286281],"category_scores_gemma":[0.0001100492,0.0001116281,0.0001298455,0.00005596569,0.001265788,0.00007806224,0.0004944404,0.0002634084,0.002882262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000731211,"about_ca_system_score_gemma":0.00003087868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008761104,"about_ca_topic_score_gemma":0.0008991901,"domain_scores_codex":[0.9986973,0.0001212648,0.0002439383,0.000230329,0.0002954536,0.0004117306],"domain_scores_gemma":[0.9991468,0.0001681304,0.00008733533,0.0002983925,0.0001168932,0.0001824042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001542995,0.0001894349,0.0004631146,0.000024685,0.0001124257,0.00003298656,0.1167841,0.000003497448,0.000002109501,0.4022957,0.4621782,0.01775941],"study_design_scores_gemma":[0.0003397928,0.0002802409,0.0006817799,0.00001305231,0.00006753483,0.000003502457,0.005295887,0.00004397577,0.000002525828,0.03411629,0.95896,0.0001954433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0481881,0.03637075,0.00002563379,0.0249093,0.002797598,0.0003146412,0.00007269125,0.0001431739,0.8871781],"genre_scores_gemma":[0.7953664,0.0006088167,0.00001955013,0.001039982,0.002154757,0.00001773759,0.000004477399,0.00001469513,0.2007736],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7471783,"threshold_uncertainty_score":0.9980487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.195668608106426,"score_gpt":0.2453114457835875,"score_spread":0.04964283767716149,"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."}}