{"id":"W4387524995","doi":"10.55650/igj.1975.891","title":"Locational patterns and trends within the pre-famine linen industry","year":2016,"lang":"en","type":"article","venue":"Irish Geography","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Famine; Economic geography; Geography; Business; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001228473,0.0001449482,0.0001202698,0.0001057208,0.0002023234,0.00002958087,0.0001461473,0.0001202403,0.0003298561],"category_scores_gemma":[0.00001642928,0.00007641571,0.00007871653,0.0001798298,0.0002374451,0.0001015058,0.0001187712,0.0001849927,0.00001537077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006338186,"about_ca_system_score_gemma":0.000006201227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002365736,"about_ca_topic_score_gemma":0.00002365693,"domain_scores_codex":[0.9991974,0.00004093583,0.0001769803,0.0002372737,0.0001690866,0.0001783374],"domain_scores_gemma":[0.9995346,0.00006816557,0.00006815132,0.0002136295,0.00005877759,0.00005667646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006411404,0.00004006,0.9773555,0.000005115645,0.00004961235,0.00001165221,0.0001903141,1.047677e-7,0.0003219129,0.00007828107,0.006041107,0.01584221],"study_design_scores_gemma":[0.000301825,0.0002474529,0.9953892,0.00003049929,0.00004040136,0.00003382024,0.0001730657,0.00000168609,0.00003725092,0.00008201097,0.003529175,0.0001336398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942636,0.0002992431,0.0000840322,0.002681696,0.0001184522,0.00007226889,0.0001478912,0.0000691782,0.00226364],"genre_scores_gemma":[0.9988964,0.00003292568,0.00003518899,0.0002047115,0.0001896826,0.00007297503,0.000009832297,0.00001464428,0.0005435938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01803365,"threshold_uncertainty_score":0.3611693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03900913267037875,"score_gpt":0.3197704300158829,"score_spread":0.2807612973455041,"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."}}