{"id":"W1966172105","doi":"10.1016/j.partic.2014.12.004","title":"Cluster identification using image processing","year":2015,"lang":"en","type":"article","venue":"Particuology","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Commonwealth Scholarship Commission","keywords":"Cluster (spacecraft); Pixel; Biological system; Hue; Core (optical fiber); Phase (matter); Fraction (chemistry); Saturation (graph theory); Identification (biology); Threshold limit value; Selection (genetic algorithm); Pattern recognition (psychology); Physics; Mathematics; Chemistry; Computer science; Chromatography; Artificial intelligence; Optics; Biology; Combinatorics","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":[0.0005348629,0.001136358,0.0008295477,0.004812645,0.001205006,0.002192287,0.001001552,0.001018357,0.007439699],"category_scores_gemma":[0.001281149,0.0004598621,0.001213925,0.00329001,0.0004966458,0.0008449604,0.001011941,0.0008244605,0.005721248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006103005,"about_ca_system_score_gemma":0.001487358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006028751,"about_ca_topic_score_gemma":0.008250019,"domain_scores_codex":[0.9992347,0.00005748007,0.00003541896,0.0002581488,0.0002524453,0.0001618751],"domain_scores_gemma":[0.9991753,0.0001009915,0.00005937738,0.0001499276,0.0004599406,0.00005443576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003112138,0.0001525805,0.002597982,0.0002185717,0.0001176664,0.0001600754,0.0001996085,0.008676391,0.2141634,0.003832366,0.009524537,0.7600456],"study_design_scores_gemma":[0.00004665291,0.0001882354,0.02168991,0.00004445135,0.0001677316,0.0007275242,0.0005409998,0.5583203,0.3650779,0.007943826,0.04512144,0.000130963],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02652915,0.0001731098,0.9602661,0.0001436921,0.0001223357,0.0002368454,0.0007247552,0.005980973,0.005823016],"genre_scores_gemma":[0.1287692,0.0001956708,0.8612592,0.00007670753,0.00006073102,0.0002007399,0.001937326,0.0005170858,0.006983298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007439699,"threshold_uncertainty_score":0.02488828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0489585770533765,"score_gpt":0.2939858017366699,"score_spread":0.2450272246832934,"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."}}