{"id":"W7043501133","doi":"","title":"Technological World with Blaine Kyllo - April 19, 2023","year":2023,"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":"Technological change; Work (physics); Technology forecasting","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":[0.0006350235,0.000790526,0.0003446112,0.001034335,0.003696687,0.006069172,0.0005940546,0.002864974,0.5939425],"category_scores_gemma":[0.001992514,0.000434887,0.0004161,0.0007937995,0.0005458497,0.003210024,0.002486579,0.003452014,0.5478407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783629,"about_ca_system_score_gemma":0.003460615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04061745,"about_ca_topic_score_gemma":0.1470548,"domain_scores_codex":[0.9992597,0.00003528835,0.00001162416,0.00007592966,0.0004316527,0.0001857301],"domain_scores_gemma":[0.9986876,0.0000709614,0.00003136168,0.00004797332,0.0004921997,0.0006700552],"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":[0.00000432774,0.000003266079,0.00001372941,0.000006991464,2.00505e-7,0.000009998024,0.000008739657,0.000004170147,0.00003833537,0.0003931405,0.9953499,0.004167088],"study_design_scores_gemma":[0.000001111793,0.000001982341,0.00006568206,0.000009700789,2.251546e-7,0.000006865257,0.00001852519,0.000006879689,0.00001918704,0.00006125827,0.9998066,0.000002144945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002600921,0.001369021,0.0003402965,0.01043284,0.007034642,0.00004709827,0.001459682,0.001586917,0.9774695],"genre_scores_gemma":[0.0003749982,0.0001460116,0.00004425368,0.0009483846,0.00015854,0.000006236838,0.0002073789,0.000168522,0.9979457],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4060575,"threshold_uncertainty_score":0.5791918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008226767635875229,"score_gpt":0.1932957766310704,"score_spread":0.1850690089951951,"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."}}