{"id":"W3004785447","doi":"10.1177/0003702820906489","title":"Mid-Infrared Reflectance Spectroscopy of Oil Sands Minerals Based on Tunable Quantum Cascade Lasers","year":2020,"lang":"en","type":"article","venue":"Applied Spectroscopy","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Oil sands; Quartz; Spectroscopy; Mineral; Cascade; Mineralogy; Quantum cascade laser; Reflectivity; Infrared; Chemistry; Environmental science; Materials science; Optics; Metallurgy; Asphalt","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001702899,0.0006939982,0.0009101526,0.0001439039,0.0002769619,0.00008693233,0.0008860729,0.0003294523,0.004358278],"category_scores_gemma":[0.00007452636,0.0007220853,0.0002932218,0.000857424,0.000251328,0.0001061991,0.00008089279,0.0007890995,0.0003861529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002810887,"about_ca_system_score_gemma":0.0002912582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005321333,"about_ca_topic_score_gemma":0.00001509478,"domain_scores_codex":[0.9960836,0.00003334938,0.0008570139,0.001233525,0.0007481287,0.001044352],"domain_scores_gemma":[0.9974154,0.0002598814,0.0004542663,0.001302275,0.00007806154,0.0004901465],"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":[0.001247105,0.0003369025,0.0001633376,0.0002894752,0.00007325006,0.0000140949,0.0003039214,0.0007516953,0.9707881,0.007725931,0.01827307,0.00003307284],"study_design_scores_gemma":[0.002181201,0.0002734992,0.00003277441,0.00007318948,0.00009828537,0.000002406205,0.0002499676,0.00717113,0.9747121,0.001597918,0.01295901,0.0006485416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4952008,0.0002446163,0.003002177,0.002864622,0.0001166453,0.0003178651,0.0002443905,0.000730451,0.4972784],"genre_scores_gemma":[0.9869035,0.00011618,0.007751692,0.002569584,0.0005608974,0.0003391339,0.0002198448,0.0001538776,0.001385233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4958932,"threshold_uncertainty_score":0.999523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563989846680846,"score_gpt":0.2651565891672137,"score_spread":0.2495166907004052,"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."}}