{"id":"W2616323164","doi":"10.1149/ma2012-01/44/1619","title":"Third-Generation Image Sensors: Opportunities and Challenges","year":2012,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Image (mathematics); Computer science; Remote sensing; Data science; Computer vision; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0003406774,0.0001428761,0.0001184124,0.00005543747,0.00007832165,0.00006150381,0.00004229078,0.00005969969,0.000009480872],"category_scores_gemma":[0.00007350964,0.0001474353,0.00002334801,0.00002641672,0.00003524408,0.0002950064,0.00001530583,0.0001247907,0.00004585364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001853414,"about_ca_system_score_gemma":0.000005016833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000155167,"about_ca_topic_score_gemma":0.000004192797,"domain_scores_codex":[0.9992716,0.00002182241,0.0001788273,0.0001061777,0.000116962,0.0003045765],"domain_scores_gemma":[0.9996231,0.000064737,0.00003483226,0.0001268342,0.00002582326,0.0001246796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000973002,0.0001431697,0.001009144,0.001017007,0.0001641652,0.00008689093,0.01951338,0.05579246,0.8747713,0.0006171265,0.0180523,0.02882331],"study_design_scores_gemma":[0.0007409204,0.00004851989,0.04284548,0.0003864489,0.0001075711,0.0002963046,0.009024332,0.03151143,0.6983913,0.0001468336,0.2149112,0.001589711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8178654,0.005490967,0.000001882999,0.000532494,0.0004204489,0.00004425564,0.00000304503,0.0003568605,0.1752846],"genre_scores_gemma":[0.9948504,0.0028625,0.001244483,0.00003107551,0.0007788797,0.0000035924,0.00000666795,0.00003568378,0.0001866928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1968589,"threshold_uncertainty_score":0.6012238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06231565005259457,"score_gpt":0.2374061201411506,"score_spread":0.175090470088556,"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."}}