{"id":"W7054614215","doi":"","title":"Accessibility Talk Transcript Sudbury","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Identification (biology); Expression (computer science); Terminal (telecommunication); Transcription (linguistics)","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":[0.001262165,0.0007984392,0.0005469671,0.001571324,0.003256951,0.00440747,0.0007157588,0.001756819,0.5883425],"category_scores_gemma":[0.005521441,0.0005521736,0.0003412783,0.001787941,0.0006009581,0.002494095,0.002391054,0.003240919,0.378473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002232994,"about_ca_system_score_gemma":0.003016704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02690404,"about_ca_topic_score_gemma":0.03980988,"domain_scores_codex":[0.99847,0.0001962923,0.00004328211,0.0001507082,0.0009067908,0.0002329493],"domain_scores_gemma":[0.9971762,0.0006210501,0.00006958556,0.0001507229,0.001710398,0.0002721469],"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":[0.00001411112,0.000003039092,0.00000769708,0.00002546118,1.944265e-7,0.00001768092,0.0000704241,0.000009215546,0.0001089843,0.001023231,0.9932415,0.005478456],"study_design_scores_gemma":[0.000002074536,0.000002855114,0.00007415742,0.00002866477,3.603891e-7,0.00002092786,0.0000841979,0.00001233624,0.00008844016,0.0002135792,0.9994689,0.00000352287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005943031,0.001313265,0.002896094,0.01187076,0.01555399,0.0002673981,0.01573459,0.002668167,0.9491013],"genre_scores_gemma":[0.002032048,0.0003864841,0.0004422411,0.001035457,0.0007443827,0.0001169524,0.002798501,0.001128826,0.9913152],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4116575,"threshold_uncertainty_score":0.5871794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007596947253118552,"score_gpt":0.1847358241450643,"score_spread":0.1771388768919458,"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."}}