{"id":"W7039907245","doi":"","title":"Mindset Mentor - Epi 86 - Fearless with Jeanne Beker","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Cultural, Social, and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mindset; The Holocaust; Active listening; Interview; Set (abstract data type)","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":[0.001100714,0.0004071324,0.000224432,0.0005463531,0.002969212,0.002360277,0.0005621781,0.00154557,0.1779238],"category_scores_gemma":[0.004557256,0.0001724694,0.0002881149,0.0003920532,0.0005469569,0.001616604,0.00322306,0.003087486,0.05643766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159793,"about_ca_system_score_gemma":0.002267747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005176863,"about_ca_topic_score_gemma":0.02622221,"domain_scores_codex":[0.999409,0.0001663932,0.00001201737,0.00004914796,0.0002156708,0.0001478128],"domain_scores_gemma":[0.9966727,0.0002402158,0.00007461487,0.00007132931,0.0005536048,0.002387504],"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":[0.00001594249,0.00003795123,0.0001935283,0.00002965275,0.000001020091,0.0001318153,0.0005836237,0.000008507501,0.0001273596,0.0004823849,0.9763361,0.02205222],"study_design_scores_gemma":[0.00000495475,0.00004195966,0.0004672349,0.0000554961,0.000001219629,0.0003111697,0.001117541,0.0000136039,0.00008852145,0.0001935005,0.997699,0.000005914223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0145123,0.007877177,0.002219509,0.2341961,0.07420183,0.0004431051,0.002089587,0.00208227,0.6623782],"genre_scores_gemma":[0.01607372,0.001934427,0.0005899065,0.02040911,0.00401416,0.0001401214,0.0002903763,0.0003792785,0.9561688],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1779238,"threshold_uncertainty_score":0.5952145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009024786239439482,"score_gpt":0.2148430954783161,"score_spread":0.2058183092388766,"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."}}