{"id":"W7073553305","doi":"","title":"Collagen morphology and texture analysis: from statistics to classification","year":2013,"lang":"en","type":"article","venue":"Kobe University Repository Kernel (Kobe University)","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Texture (cosmology); Pattern recognition (psychology); Gray level; Image texture; Co-occurrence matrix; Collagen fiber; Grey level; Principal component analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001906053,0.000518077,0.000692038,0.003567567,0.0001905256,0.001911703,0.0004160411,0.000596987,0.0006942585],"category_scores_gemma":[0.004426064,0.0002507661,0.0004382143,0.002269524,0.001190366,0.00114342,0.0003927372,0.0005592936,0.0004095398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004813651,"about_ca_system_score_gemma":0.0005029817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178918,"about_ca_topic_score_gemma":0.0008150755,"domain_scores_codex":[0.9991106,0.0002029753,0.00007726522,0.0001703452,0.0003820566,0.00005667733],"domain_scores_gemma":[0.9969698,0.001640013,0.0005541955,0.0003242104,0.0004104624,0.0001013113],"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":[0.0002544342,0.0001257813,0.02871136,0.0003711958,0.0001515278,0.0001882893,0.0002935398,0.03425539,0.09374954,0.018168,0.002441959,0.821289],"study_design_scores_gemma":[0.00003428969,0.0003797617,0.06446524,0.0001442514,0.0001367185,0.001047453,0.0004299006,0.8071165,0.06598243,0.0505183,0.009592709,0.0001523876],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06771757,0.002931019,0.9250178,0.0008070737,0.00008817283,0.00004795909,0.0003312039,0.0009433991,0.002115839],"genre_scores_gemma":[0.671453,0.003118347,0.3224226,0.0001988888,0.0003901941,0.0001096665,0.000427919,0.0001904749,0.001688873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003567567,"threshold_uncertainty_score":0.01008028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00808786232865318,"score_gpt":0.1828307854410628,"score_spread":0.1747429231124096,"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."}}