{"id":"W2801116531","doi":"10.1038/s41528-018-0025-1","title":"Compliant lightweight non-invasive standalone “Marine Skin” tagging system","year":2018,"lang":"en","type":"article","venue":"npj Flexible Electronics","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"King Abdullah University of Science and Technology","keywords":"Marine ecosystem; Environmental science; Computer science; Ecosystem; Marine engineering; Embedded system; Ecology; Engineering; Biology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003823118,0.0003593693,0.000433039,0.00005174262,0.0005749397,0.00006634533,0.0005642007,0.00009979636,0.003407426],"category_scores_gemma":[0.00003196704,0.0003240056,0.0001230337,0.0006574425,0.0002560159,0.0002100105,0.001127455,0.0002936033,0.003579529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465802,"about_ca_system_score_gemma":0.00008013354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001580869,"about_ca_topic_score_gemma":0.007038204,"domain_scores_codex":[0.9971852,0.00005455696,0.000411504,0.0006624108,0.0006003365,0.001085944],"domain_scores_gemma":[0.9989353,0.00006291478,0.0001845603,0.0005751422,0.00005275879,0.0001892807],"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":[0.001420044,0.001729399,0.2089836,0.002024023,0.001594795,0.0004803983,0.004253316,0.0007483674,0.06149719,0.1014997,0.3759178,0.2398513],"study_design_scores_gemma":[0.001216204,0.001572596,0.02838928,0.0001451498,0.0001142785,0.00009896737,0.0001923536,0.003515312,0.06976803,0.0008100996,0.8931711,0.001006666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3666682,0.001150916,0.002373342,0.0006454529,0.0004739331,0.000946928,0.00001664703,0.0005090919,0.6272156],"genre_scores_gemma":[0.9926799,0.0006281126,0.001774239,0.0007511787,0.0003943259,0.00005063876,0.00001473344,0.00006029264,0.00364658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6260117,"threshold_uncertainty_score":0.9999212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089396244749997,"score_gpt":0.2329157284656154,"score_spread":0.2220217660181154,"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."}}