{"id":"W6990813616","doi":"","title":"The Enginerdy Show Episode 23: Enginerdium","year":2013,"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":"Table (database); Consumption (sociology); Term (time); Quarter (Canadian coin); Filter (signal processing)","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":[0.0008686177,0.0005783332,0.0003809685,0.0006826307,0.005074608,0.006745808,0.001210451,0.002172617,0.4386096],"category_scores_gemma":[0.002423024,0.0004558792,0.0004165042,0.001155363,0.0005761577,0.002759975,0.004151636,0.002569342,0.1920989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204138,"about_ca_system_score_gemma":0.001636492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04614595,"about_ca_topic_score_gemma":0.1797521,"domain_scores_codex":[0.9991378,0.00006178763,0.0000185168,0.00008265544,0.0003658053,0.0003335573],"domain_scores_gemma":[0.9993008,0.00005283399,0.00002542998,0.00007528392,0.0002236628,0.0003218809],"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":[0.00004077395,0.00001393743,0.0001665438,0.00004062789,0.00000202821,0.0000982378,0.0004032158,0.00001372622,0.0001109036,0.001353755,0.9915582,0.006198083],"study_design_scores_gemma":[0.000003413463,0.000005319659,0.0008756499,0.00002524369,0.000001126739,0.00002491319,0.0003659143,0.00001040102,0.00009682056,0.00007809067,0.9985085,0.000004540158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003355911,0.0006962203,0.000298255,0.003136527,0.002527419,0.00006405346,0.003880674,0.001174828,0.9848661],"genre_scores_gemma":[0.01132148,0.0002559704,0.0001233491,0.000689597,0.0002653832,0.00002278698,0.002129424,0.0009168935,0.984275],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4386096,"threshold_uncertainty_score":0.8007553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004844749657883657,"score_gpt":0.1774777719429479,"score_spread":0.1726330222850643,"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."}}