{"id":"W2351622130","doi":"","title":"Development on Sample Applicator on TLC","year":2001,"lang":"en","type":"article","venue":"","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Sample (material); Microcomputer; Computer science; Process engineering; Chip; Product (mathematics); Commodity; New product development; Computer hardware; Manufacturing engineering; Chromatography; Engineering; Chemistry; Mathematics; Business; Marketing; Telecommunications","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":[0.0001146355,0.00007115435,0.0000636891,0.00001718699,0.00009321902,0.00001601592,0.0001121599,0.00002130229,0.001936319],"category_scores_gemma":[0.000007479819,0.00005256433,0.00002691504,0.0001131684,0.00001951355,0.00002234465,0.0000417326,0.00004249667,0.006219909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009679109,"about_ca_system_score_gemma":0.00000193137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003870831,"about_ca_topic_score_gemma":0.00001301253,"domain_scores_codex":[0.9993165,0.00001213721,0.00009801007,0.0002003414,0.0002215118,0.0001514841],"domain_scores_gemma":[0.9997041,0.00003142773,0.00001607003,0.0001755585,0.000001021557,0.0000717842],"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":[0.0001185954,0.001824791,0.3964636,0.0000114644,0.0001129047,0.00002729656,0.002330317,0.004505299,0.04777927,0.003660237,0.03402898,0.5091373],"study_design_scores_gemma":[0.0001480707,0.00004755607,0.04918563,0.000006201155,0.000005102141,6.662857e-7,0.0000966037,0.00007707871,0.1297405,0.0003080058,0.8201665,0.000218116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683419,5.71917e-7,0.001097517,0.0003928103,0.00003234831,0.00004099714,6.871859e-7,0.00006355922,0.03002962],"genre_scores_gemma":[0.9877447,0.000001933052,0.005019961,0.0003247026,0.00004681249,0.00001246934,0.000003565649,0.000005493543,0.006840321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7861375,"threshold_uncertainty_score":0.9989761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264084568900692,"score_gpt":0.2586056735656858,"score_spread":0.2259648278766789,"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."}}