{"id":"W7012125735","doi":"","title":"Go Maith Mar Óir","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Irish; Celtic Tiger; Bay; Shore; Performance art","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003414674,0.001024503,0.0004022997,0.0006597495,0.00257447,0.003083433,0.0006711432,0.001546154,0.7254242],"category_scores_gemma":[0.0009793508,0.0002924984,0.0003715354,0.0003465741,0.0002813525,0.001324069,0.002903885,0.002400419,0.4851051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009131535,"about_ca_system_score_gemma":0.001014437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01143946,"about_ca_topic_score_gemma":0.04298143,"domain_scores_codex":[0.9996787,0.00002078812,0.000006084671,0.00006143179,0.0001098551,0.0001230928],"domain_scores_gemma":[0.9995468,0.00001928146,0.00001784613,0.00002607851,0.0001780407,0.0002118756],"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":[0.00006732098,0.00002881627,0.0002781774,0.00005578003,0.000003058104,0.0002236047,0.0001458579,0.00003219259,0.0004043867,0.001441556,0.9670731,0.03024613],"study_design_scores_gemma":[0.00000334054,0.00001265979,0.0004540999,0.00003570972,0.000001001615,0.0000480022,0.0001626094,0.00001528735,0.00004129734,0.00006813613,0.9991553,0.000002721435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001436709,0.0007232788,0.000256702,0.002266265,0.007140658,0.0001132752,0.001087202,0.0006162631,0.9863597],"genre_scores_gemma":[0.001625586,0.0002083297,0.000074175,0.0003878304,0.0002492743,0.00001730755,0.0002575194,0.00010015,0.9970798],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2745758,"threshold_uncertainty_score":0.3916491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006592754536243198,"score_gpt":0.1841345937387329,"score_spread":0.1775418392024897,"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."}}