{"id":"W2024805048","doi":"10.1364/ao.39.004730","title":"Dual-spatial integration for longitudinal localization of inclusions in turbid media","year":2000,"lang":"en","type":"article","venue":"Applied Optics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique","funders":"","keywords":"Optics; Scattering; Detector; Mammography; Materials science; Computer science; Physics","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":[0.0004268857,0.0004459773,0.000294434,0.0003519996,0.0002459161,0.0004536922,0.0006614276,0.0003665597,0.0006482225],"category_scores_gemma":[0.0007121277,0.0002525662,0.0002503123,0.0002331287,0.0007338208,0.0006753795,0.0007484618,0.000506359,0.000255934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004393583,"about_ca_system_score_gemma":0.0004065421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004612058,"about_ca_topic_score_gemma":0.0007366433,"domain_scores_codex":[0.9998616,0.00001845695,0.000004804161,0.00002181503,0.00007630936,0.00001708771],"domain_scores_gemma":[0.9996762,0.0001199403,0.00005799115,0.00003858236,0.0000795434,0.00002770354],"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":[0.0001863621,0.0000876245,0.001360049,0.0001174452,0.00002196258,0.0002625296,0.0002045773,0.02057311,0.8938787,0.03305661,0.0002644868,0.04998661],"study_design_scores_gemma":[0.00002977578,0.0001443031,0.0008334136,0.00001252901,0.00002586343,0.0004881956,0.00003433524,0.5224089,0.4647511,0.007217916,0.004017481,0.00003615702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1008815,0.0004271467,0.8956241,0.000123913,0.0000342927,0.00002782081,0.00002245511,0.0003421647,0.002516586],"genre_scores_gemma":[0.4114074,0.0003636632,0.5863246,0.00006838556,0.00001805737,0.00005552035,0.00003716169,0.00006338362,0.001661783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006614276,"threshold_uncertainty_score":0.003187776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593126153232483,"score_gpt":0.3044390176134962,"score_spread":0.2885077560811714,"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."}}