{"id":"W6946120450","doi":"10.26190/unsworks/28546","title":"Supply Chain Cyber Uplift","year":2022,"lang":"en","type":"report","venue":"UNSWorks (University of New South Wales, Sydney, Australia)","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deliverable; Supply chain; Context (archaeology); Work (physics); Critical infrastructure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003099918,0.000583608,0.0002555592,0.003488994,0.001714243,0.005460313,0.0007761828,0.0009908089,0.0666546],"category_scores_gemma":[0.006455958,0.0004996932,0.0004429712,0.006052738,0.0005059718,0.003392338,0.003880051,0.001672977,0.01971189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005525841,"about_ca_system_score_gemma":0.01531466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02726079,"about_ca_topic_score_gemma":0.02876799,"domain_scores_codex":[0.9941245,0.0006524817,0.0002563348,0.0003973773,0.003912535,0.0006568395],"domain_scores_gemma":[0.9926649,0.001352399,0.0005748256,0.0006756991,0.004157538,0.0005745839],"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":[0.000129642,0.0001491545,0.008327416,0.001104809,0.00001979126,0.000967511,0.002401693,0.002359418,0.002342693,0.05613884,0.5713351,0.3547239],"study_design_scores_gemma":[0.000006201177,0.00006364763,0.006378389,0.0003789661,0.000004606496,0.0001827024,0.001770347,0.000411912,0.001805877,0.002249523,0.9867307,0.00001725725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03137742,0.003311554,0.01176352,0.01560213,0.001598286,0.001854744,0.02747875,0.001559335,0.9054543],"genre_scores_gemma":[0.1698135,0.01398653,0.01971891,0.003197192,0.0003657876,0.002054997,0.05248291,0.0007429104,0.7376373],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0666546,"threshold_uncertainty_score":0.2229818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04358867800556441,"score_gpt":0.2382123196818807,"score_spread":0.1946236416763163,"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."}}