{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002000329,0.000079417,0.00009639298,0.00005553172,0.00004798642,0.00005383694,0.0000659367,0.00005506058,0.0000128577],"category_scores_gemma":[0.000060893,0.00007724824,0.00001505581,0.000122331,0.00003905048,0.0002052934,0.00001716223,0.00008206709,0.0001302057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004633163,"about_ca_system_score_gemma":0.00001909332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000529723,"about_ca_topic_score_gemma":0.000003207698,"domain_scores_codex":[0.999402,0.00002153391,0.0001753713,0.0001136605,0.00007067883,0.0002167676],"domain_scores_gemma":[0.9997324,0.00001176286,0.00002770678,0.00009748383,0.00005313173,0.00007746906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004112898,0.00008223116,0.007187834,0.0004991698,0.00005556511,0.0000345156,0.006699386,0.3712399,0.5630704,0.0004398141,0.01508896,0.03556109],"study_design_scores_gemma":[0.0003048393,0.00001191752,0.0004980872,0.00002020307,0.0000234267,0.00005392926,0.0001704427,0.9791112,0.01696937,0.001102271,0.001557055,0.0001772806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351263,0.0003362744,0.0611449,0.0001051807,0.0003784049,0.00004940306,6.481396e-7,0.0002515133,0.002607362],"genre_scores_gemma":[0.9961171,0.000001454385,0.003538778,0.00004278051,0.0001430724,0.000007449201,0.00000354391,0.00001903365,0.0001267675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6078712,"threshold_uncertainty_score":0.3150092,"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."}}