{"id":"W2905024357","doi":"10.1007/978-3-319-96870-4_6","title":"The Many Roads to an Ideal Paper-based Device","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ideal (ethics); Computer science; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008399893,0.0001971547,0.00014305,0.0000431527,0.00008505187,0.00007069739,0.0001389346,0.0002246812,0.001565093],"category_scores_gemma":[0.00000564875,0.0001312027,0.00008601356,0.00002197826,0.00003187827,0.00003186778,0.00001623103,0.0001941005,0.001313326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004414187,"about_ca_system_score_gemma":0.000008186106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001842086,"about_ca_topic_score_gemma":0.0004094737,"domain_scores_codex":[0.9993196,0.000004352345,0.0001711257,0.0001759957,0.0001458358,0.0001831399],"domain_scores_gemma":[0.9994676,0.00003355761,0.0000141558,0.0003097126,0.00004410547,0.0001309384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001181754,0.00003459374,0.000004341705,0.0002808375,0.000516839,0.00005130631,0.0001176762,0.006010273,0.007459355,0.4294781,0.1763589,0.3795696],"study_design_scores_gemma":[0.00005654203,0.0001002308,0.00003177425,0.00003500802,0.00002800438,0.000001187997,0.000004995276,0.02648689,0.000635264,0.00221042,0.9701465,0.0002631684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003562813,0.0001036399,0.003791469,0.0003898552,0.0004448052,0.0001526928,0.000009440287,0.0004112836,0.9943405],"genre_scores_gemma":[0.09909999,0.0000813369,0.00100217,0.00171344,0.001583417,0.00001043797,0.00001657152,0.0001744937,0.8963181],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7937876,"threshold_uncertainty_score":0.9994643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451170713846329,"score_gpt":0.2192665807317681,"score_spread":0.2047548735933048,"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."}}