{"id":"W6948759423","doi":"10.5281/zenodo.11696511","title":"the man without a face pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Presidency; Drama; Ticket; Biography; TUTOR; Face-to-face; Studio","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":[0.0004864861,0.0009348071,0.0007014036,0.000870591,0.002438471,0.0058062,0.0009418736,0.00163359,0.8947717],"category_scores_gemma":[0.002728141,0.0004249221,0.000644327,0.0006829102,0.0006577392,0.00415389,0.002979093,0.002028148,0.8509501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008444359,"about_ca_system_score_gemma":0.0008761453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002194214,"about_ca_topic_score_gemma":0.005350996,"domain_scores_codex":[0.9995579,0.00004035729,0.00001417626,0.00006409999,0.0002354428,0.00008801999],"domain_scores_gemma":[0.998695,0.0001080199,0.00003452628,0.0001507735,0.0005253495,0.0004863526],"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":[0.00002263924,0.00001667548,0.00004086073,0.00004085675,0.00000107737,0.00005797408,0.00004055354,0.00001289119,0.0002632506,0.001001614,0.9719896,0.02651187],"study_design_scores_gemma":[0.000004342678,0.00001287169,0.0001953382,0.00002524478,0.000001007529,0.00008363603,0.00008671601,0.00001679251,0.0001357899,0.0002349378,0.9991992,0.00000414556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005042463,0.0005057394,0.0005771701,0.002035822,0.003766805,0.00009465886,0.0008756222,0.002195268,0.9894447],"genre_scores_gemma":[0.001484967,0.0002469751,0.0002288211,0.0005451979,0.0003070781,0.00001989262,0.0002319431,0.0004421186,0.9964929],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1052283,"threshold_uncertainty_score":0.1500953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051210395096171,"score_gpt":0.2463437601168132,"score_spread":0.2158316561658515,"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."}}