{"id":"W7028642861","doi":"","title":"GROUND CONTROL | Reviewing Marvel Movies with Mark Scheifele","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Civil and Structural Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Favourite; Control (management); Joins; 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":[],"category_scores_codex":[0.0004115471,0.0006533428,0.0002888801,0.001726237,0.001666199,0.002789344,0.000540364,0.0008467916,0.4258309],"category_scores_gemma":[0.002866292,0.0002891476,0.0002010057,0.001162865,0.0003887153,0.002054689,0.001204427,0.001206129,0.3638502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007366061,"about_ca_system_score_gemma":0.0005846101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006779842,"about_ca_topic_score_gemma":0.02709791,"domain_scores_codex":[0.999589,0.00003975566,0.00001331625,0.00004413984,0.0002706235,0.00004307723],"domain_scores_gemma":[0.9985763,0.0001810001,0.00005915025,0.00007588584,0.0007487528,0.0003588939],"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":[0.000001826322,0.000002104968,0.00001604308,0.00001106095,1.763172e-7,0.00001380925,0.00002250378,0.000004491832,0.00003832898,0.0001150432,0.9915527,0.008221936],"study_design_scores_gemma":[5.129006e-7,0.000002064084,0.000107435,0.00002334474,2.964636e-7,0.00001874091,0.00006096181,0.00001186981,0.00003321435,0.00004128763,0.999699,0.000001218759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001132573,0.006744351,0.002147107,0.01571998,0.02702342,0.000153277,0.002216439,0.005712985,0.9391499],"genre_scores_gemma":[0.003223135,0.00283655,0.0006346061,0.001666138,0.003889206,0.0000356042,0.0009451581,0.00144204,0.9853276],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4258309,"threshold_uncertainty_score":0.8189825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005535522047422859,"score_gpt":0.1739531555843788,"score_spread":0.1684176335369559,"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."}}