{"id":"W7064163138","doi":"","title":"ARCHIVEIT-1830-NONE-KEGJRR-20120116160920-00000-crawling208.us.archive.org-6682.warc.gz","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Process (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000194342,0.0007891541,0.0007577518,0.0003308744,0.0001055637,0.00005991525,0.0007687231,0.0007165463,0.2682336],"category_scores_gemma":[0.0001179614,0.0008315629,0.0002594941,0.00002345976,0.0002976175,0.000001364081,0.0002233289,0.0008058589,0.03718619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009915814,"about_ca_system_score_gemma":0.00003370839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005478652,"about_ca_topic_score_gemma":0.0005145266,"domain_scores_codex":[0.9972356,0.00006596615,0.001019085,0.0003323515,0.0005478853,0.0007990921],"domain_scores_gemma":[0.9981017,0.0001397981,0.0005092858,0.000921404,0.0001003582,0.0002275094],"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":[0.00002858427,0.00003808546,0.00001013327,0.0007479576,0.0001439347,0.00001064007,0.0001818592,0.002359053,0.00003036541,0.0001018743,0.9928364,0.003511101],"study_design_scores_gemma":[0.0005061956,0.0000831934,0.00002081125,0.0002643542,0.00007151876,0.00006170082,0.00007952425,0.0001476838,0.0004713627,0.0000512401,0.997409,0.0008333891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007195725,0.001630104,0.0001610818,0.00006394039,0.001163542,0.0006797482,0.0004963655,0.002420868,0.9933124],"genre_scores_gemma":[0.001434231,0.001818554,0.0115988,0.0001405351,0.0004994914,0.0000746172,0.000570795,0.0004691019,0.9833938],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2310474,"threshold_uncertainty_score":0.9994135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005400962211694666,"score_gpt":0.1774020822662996,"score_spread":0.1720011200546049,"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."}}