{"id":"W4320304186","doi":"10.1007/978-981-19-7720-6_6","title":"Future Work and Conclusion","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Work (physics); Computer science; Psychology; Engineering; Mechanical engineering","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":[0.005539482,0.0009876804,0.0007594632,0.001655557,0.002706567,0.008804935,0.002675391,0.003113256,0.1587713],"category_scores_gemma":[0.008257782,0.0003348865,0.00135289,0.002029888,0.001214958,0.008863778,0.002508962,0.00220139,0.06647379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002891456,"about_ca_system_score_gemma":0.005769772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009355487,"about_ca_topic_score_gemma":0.00675388,"domain_scores_codex":[0.9971004,0.0007595749,0.0001335818,0.0006046533,0.0009257232,0.0004760123],"domain_scores_gemma":[0.99129,0.001032215,0.0001803821,0.001083078,0.005445237,0.0009691798],"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":[0.0004717852,0.0003755799,0.001770803,0.001249342,0.0000451238,0.0002327829,0.0007473417,0.001587668,0.004482169,0.1078005,0.2767673,0.6044697],"study_design_scores_gemma":[0.00008813716,0.0002080745,0.001011193,0.0009115021,0.00008328733,0.0003384893,0.00236634,0.002512692,0.004322517,0.07560102,0.9125021,0.00005463033],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0104177,0.04080045,0.09742739,0.1549999,0.03162675,0.0008678954,0.004097574,0.003258572,0.6565039],"genre_scores_gemma":[0.07798652,0.04523297,0.1206392,0.03639536,0.006385142,0.0006853818,0.007713009,0.0008776229,0.7040849],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8412287,"threshold_uncertainty_score":0.5311428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216846197500524,"score_gpt":0.2237573305451736,"score_spread":0.2115888685701684,"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."}}