{"id":"W6981562869","doi":"","title":"Episode 36 - Rob Vanstone","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Football; Government (linguistics); Work (physics)","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":[],"category_scores_codex":[0.0008299549,0.0005907265,0.0004176043,0.0006713677,0.007125321,0.004001314,0.00118817,0.004672297,0.4047112],"category_scores_gemma":[0.00392219,0.0003586162,0.0004450046,0.0009182881,0.0006168843,0.003265001,0.005071823,0.005351088,0.1675024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002580927,"about_ca_system_score_gemma":0.003312714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05322107,"about_ca_topic_score_gemma":0.1598647,"domain_scores_codex":[0.9991203,0.00009863806,0.00003560339,0.0001105704,0.0002392079,0.0003957389],"domain_scores_gemma":[0.9988396,0.00009493227,0.00003741785,0.0000722549,0.0002757158,0.0006800669],"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":[0.00001429457,0.0000112575,0.0001462231,0.00002213287,7.90783e-7,0.0002682074,0.0003722743,0.000005455378,0.00003444448,0.001435994,0.9924936,0.005195255],"study_design_scores_gemma":[0.000002637604,0.00000439662,0.0002792552,0.00003761126,5.493389e-7,0.0001191687,0.0007249393,0.000004704387,0.00002523187,0.0002984749,0.9985006,0.00000250201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00398851,0.001969826,0.0002566025,0.05305796,0.0113251,0.0002247828,0.004133891,0.0004588735,0.9245845],"genre_scores_gemma":[0.009486887,0.0005687951,0.00008142599,0.01691445,0.0007688557,0.00009412525,0.001085292,0.0001929184,0.9708072],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4047112,"threshold_uncertainty_score":0.8491072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007406688079034766,"score_gpt":0.2084530793529362,"score_spread":0.2010463912739014,"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."}}