{"id":"W1596689249","doi":"10.51847/3cwkuur","title":"10.51847/3CwKuur","year":2000,"lang":"en","type":"review","venue":"Time to knit","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanorobotics; Dentistry; Medicine; Oral health; Engineering ethics; Nanotechnology; Engineering; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003823808,0.001366225,0.0007714321,0.002385603,0.001187267,0.002211576,0.001506276,0.002833497,0.9238379],"category_scores_gemma":[0.0006343978,0.0004229473,0.0006530213,0.001850992,0.0006459401,0.001958992,0.00235386,0.001185966,0.9325585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006865688,"about_ca_system_score_gemma":0.000456621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539672,"about_ca_topic_score_gemma":0.001366787,"domain_scores_codex":[0.9996986,0.0000200145,0.00001907587,0.0000807658,0.0001276567,0.00005391796],"domain_scores_gemma":[0.9995908,0.00007712504,0.00002566177,0.00005741666,0.0001530898,0.00009597332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008696086,0.0001042374,0.000202509,0.0005320469,0.00001196309,0.000252666,0.00004593169,0.0001833394,0.003818732,0.004471581,0.1374368,0.8528533],"study_design_scores_gemma":[0.00001239872,0.00003582137,0.0002732463,0.0001872745,0.000005253685,0.0004283682,0.00002652176,0.00008528154,0.000736835,0.0005800234,0.9976198,0.000009118124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007842035,0.004607383,0.001723051,0.0004433383,0.0008451965,0.00007955891,0.0004856312,0.001054,0.9899776],"genre_scores_gemma":[0.001918869,0.001834474,0.0009879367,0.0003844734,0.0001109293,0.00004123708,0.0003340594,0.0001508741,0.9942371],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0761621,"threshold_uncertainty_score":0.1086359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322806615926383,"score_gpt":0.2069974611926943,"score_spread":0.1937693950334305,"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."}}