{"id":"W4400845076","doi":"10.2139/ssrn.4900500","title":"An Interferometric Method to Visualize and Quantify Nanofluid Stability","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nanofluid; Interferometry; Stability (learning theory); Materials science; Nanotechnology; Computer science; Optics; Physics; Nanoparticle; Machine learning","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":[0.0007257671,0.0008678731,0.0004446036,0.001804215,0.0004940656,0.0007161617,0.0007264623,0.0009438139,0.00177435],"category_scores_gemma":[0.0009945068,0.0004544387,0.0003059568,0.00156843,0.0007010789,0.001000747,0.0007367915,0.001053661,0.0007084389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005573508,"about_ca_system_score_gemma":0.0006375949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005096224,"about_ca_topic_score_gemma":0.00100564,"domain_scores_codex":[0.9992761,0.0001321215,0.00002118652,0.00009905969,0.0004113968,0.00006004544],"domain_scores_gemma":[0.9994574,0.0002220764,0.00008207343,0.00007031356,0.0001440042,0.00002408944],"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":[0.00008889821,0.0001282946,0.0009715004,0.0001641402,0.00003180819,0.00005687569,0.0001058508,0.002234414,0.9294578,0.008250456,0.001738354,0.05677157],"study_design_scores_gemma":[0.00003062304,0.0002332262,0.00313573,0.00002003426,0.00005185487,0.0002753318,0.00006452661,0.1643068,0.8205647,0.003432812,0.007789563,0.00009464549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07230446,0.0009402552,0.9162098,0.000349651,0.0001838964,0.0001888007,0.0003815468,0.001459432,0.007982176],"genre_scores_gemma":[0.4876965,0.001308948,0.5040728,0.0003976567,0.0002020497,0.0005816174,0.0005087925,0.0002579923,0.004973672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001804215,"threshold_uncertainty_score":0.005935788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734916179356249,"score_gpt":0.3077503014817358,"score_spread":0.2904011396881733,"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."}}