{"id":"W4252322161","doi":"10.1002/9780470985687.index","title":"Index","year":2008,"lang":"en","type":"paratext","venue":"","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Index (typography); Citation; Library science; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002882501,0.001026598,0.000954377,0.002210622,0.001045055,0.002484818,0.001271335,0.001277227,0.6538563],"category_scores_gemma":[0.001483544,0.0002039782,0.000291269,0.001828395,0.0003919246,0.002060033,0.001361583,0.0009373365,0.5509288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009237605,"about_ca_system_score_gemma":0.0005885112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671711,"about_ca_topic_score_gemma":0.003705164,"domain_scores_codex":[0.9996631,0.00003149391,0.00001353217,0.00006794871,0.0001863922,0.00003751293],"domain_scores_gemma":[0.9994226,0.0001143501,0.00002551232,0.0000716216,0.0002379188,0.0001281188],"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":[0.00003374334,0.000056028,0.0001314738,0.0002250932,0.000004058516,0.00004696183,0.00002442895,0.0002964831,0.001468075,0.007253772,0.8073337,0.1831262],"study_design_scores_gemma":[0.000006867292,0.0000259508,0.0002341752,0.0001231637,0.000004798785,0.00005557944,0.0000250108,0.0008458066,0.0008777962,0.003536286,0.9942572,0.000007350994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009866253,0.00151476,0.005734642,0.001160097,0.004351635,0.0001860636,0.002425532,0.001217859,0.9824229],"genre_scores_gemma":[0.003086489,0.0009369982,0.001452302,0.0003584449,0.0005812541,0.00007298766,0.001434504,0.000255729,0.9918213],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3461437,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022625105708298,"score_gpt":0.193823084880526,"score_spread":0.183596833823443,"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."}}