{"id":"W4223900928","doi":"10.21203/rs.3.rs-1072031/v1","title":"Metasurface-enhanced Light Detection and Ranging Technology","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Ranging; Lidar; Computer science; Frame rate; Computer vision; Artificial intelligence; Field of view; Image resolution; Optics; Remote sensing; Physics; Geology; Telecommunications","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":[0.0001409132,0.000363142,0.000228593,0.0002769993,0.0001027281,0.0004515878,0.0005013332,0.0006202621,0.001787881],"category_scores_gemma":[0.0002140404,0.0002025,0.0002225761,0.0003141132,0.0003522853,0.000597359,0.0005752243,0.0005899188,0.0007331012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004855699,"about_ca_system_score_gemma":0.000146694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001676785,"about_ca_topic_score_gemma":0.0001965322,"domain_scores_codex":[0.9998,0.00001778276,0.000008684486,0.00003926437,0.0001128437,0.00002143259],"domain_scores_gemma":[0.9998803,0.00003002013,0.00002856482,0.00002569435,0.00002535377,0.000009921902],"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":[0.00003004052,0.00001480189,0.0001059542,0.0001008891,0.000007251276,0.00007786405,0.00002476095,0.001278292,0.976003,0.006916529,0.0003501466,0.01509056],"study_design_scores_gemma":[0.00002006853,0.0001516225,0.0003777241,0.00001669931,0.000008704169,0.000487128,0.00001871646,0.03451214,0.9436982,0.002284128,0.01840434,0.0000206069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4641744,0.01395026,0.4816086,0.001320954,0.0006629108,0.0001394639,0.0004069162,0.001719925,0.03601658],"genre_scores_gemma":[0.878697,0.001759814,0.1112443,0.0001595789,0.00007247373,0.00004551386,0.0001231508,0.00006083856,0.007837407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001787881,"threshold_uncertainty_score":0.005981028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03193140627617481,"score_gpt":0.3561301177349429,"score_spread":0.3241987114587681,"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."}}