{"id":"W6987180506","doi":"","title":"S03E18 - Who are the Smiley Face Killers?","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":"Face (sociological concept); Smiley; Accidental; Carelessness; Shit; Subconscious; Quarter (Canadian coin); Foolishness; Ridiculous; Lottery","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":[0.0009170482,0.00081395,0.0005286363,0.000687099,0.004823675,0.005568356,0.0009407896,0.005404221,0.6450668],"category_scores_gemma":[0.004506236,0.0003476277,0.0005051816,0.0005703407,0.0009290056,0.006099455,0.004004266,0.003095378,0.4668063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394848,"about_ca_system_score_gemma":0.002087239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005314592,"about_ca_topic_score_gemma":0.01801516,"domain_scores_codex":[0.9991255,0.0001963276,0.00004261373,0.00009353959,0.000205266,0.0003367134],"domain_scores_gemma":[0.9975732,0.0002140794,0.00008767105,0.00008783901,0.0007338717,0.00130333],"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":[0.000008767224,0.00000944268,0.00009577923,0.0000312292,3.927111e-7,0.00007718297,0.0001963121,0.000001583936,0.00002804351,0.000442177,0.9842533,0.01485578],"study_design_scores_gemma":[0.000003643736,0.00001179742,0.0001974492,0.0001165135,7.209856e-7,0.0002454784,0.00116002,0.000005586474,0.00002909522,0.0002705301,0.9979557,0.000003434513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002469463,0.004993041,0.0005699281,0.0724504,0.03308203,0.000219034,0.002588165,0.001380026,0.882248],"genre_scores_gemma":[0.00615508,0.002353053,0.0002627159,0.02495856,0.002779486,0.0001483759,0.0008105721,0.0004681846,0.962064],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3549332,"threshold_uncertainty_score":0.5062691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00806314373000129,"score_gpt":0.1882273946797992,"score_spread":0.1801642509497979,"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."}}