{"id":"W2160452106","doi":"10.1109/igarss.1989.579030","title":"Optical Storage Systems As The Media Of Remotely Sensed Data Exchange","year":2005,"lang":"en","type":"article","venue":"","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science; 3D optical data storage; Optical storage; Computer data storage; Remote sensing; Computer hardware; Operating system; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008999334,0.0003351082,0.0003350485,0.001173012,0.0009461161,0.005816308,0.001224949,0.001143278,0.007239827],"category_scores_gemma":[0.002374463,0.000454968,0.0001793695,0.001779956,0.001450243,0.006101725,0.001160764,0.001024354,0.001315617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009241504,"about_ca_system_score_gemma":0.00058583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008344432,"about_ca_topic_score_gemma":0.0007512619,"domain_scores_codex":[0.9995847,0.0001081018,0.00002927553,0.0000684234,0.0001596144,0.00004983252],"domain_scores_gemma":[0.9991121,0.0003732648,0.0001013428,0.0002001805,0.0001749485,0.00003815956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001939275,0.0000676548,0.001003066,0.0002061511,0.00002512865,0.0002707857,0.0007602203,0.009207649,0.04249262,0.8734018,0.00777722,0.06459376],"study_design_scores_gemma":[0.0001147887,0.0001775993,0.001705159,0.0003107106,0.0001176205,0.001019525,0.001151436,0.1705483,0.1193496,0.4259633,0.2794104,0.0001315143],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2085149,0.02334007,0.515282,0.01074863,0.002207401,0.0002663052,0.001806527,0.002676638,0.2351576],"genre_scores_gemma":[0.8976653,0.007366074,0.06453922,0.0005424388,0.0008418059,0.0001332963,0.0004163424,0.0001512371,0.02834442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007239827,"threshold_uncertainty_score":0.02421963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041959380555242,"score_gpt":0.2463215959662978,"score_spread":0.2059020021607453,"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."}}