{"id":"W4281720075","doi":"10.24297/ijct.v22i.9228","title":"Hyalite Sol-Gel Amoeba: A Physiology-Based Biophysical Model for Segmentation and Biotransformation of Medical Images To 3D Solid-State Characterizing Native Tissue Properties for Patient-Specific and Patient-Appropriate Analysis for Surgical Applications","year":2022,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Amoeba (genus); Amoeba proteus; Segmentation; Computer science; Artificial intelligence; Biology; Cell biology","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":[0.0001403068,0.0003225699,0.0002196126,0.0003097582,0.0001979212,0.000646239,0.0004676765,0.0007638009,0.0009560584],"category_scores_gemma":[0.0002262455,0.0002178441,0.0004663128,0.0002420264,0.0005644097,0.0003468585,0.0005460056,0.0004528916,0.0003408408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004752935,"about_ca_system_score_gemma":0.0005322379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719383,"about_ca_topic_score_gemma":0.001077736,"domain_scores_codex":[0.9999192,0.00001647207,0.000003727326,0.00002117175,0.00003076566,0.000008729166],"domain_scores_gemma":[0.9999168,0.00003211544,0.00001576182,0.00001089078,0.00001482806,0.00000971721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001141859,0.00008482534,0.002243806,0.0003760325,0.00005433576,0.0004184314,0.0002476274,0.5066366,0.3866508,0.07166819,0.001768506,0.02973671],"study_design_scores_gemma":[0.00001258941,0.0000788664,0.0009585782,0.00002268845,0.00001425939,0.0002828606,0.00003808917,0.9548171,0.01953672,0.009556122,0.01465657,0.00002556996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09449542,0.001977143,0.886586,0.0008802133,0.0001245129,0.0001504479,0.0005847801,0.0006456194,0.01455589],"genre_scores_gemma":[0.7636285,0.002985468,0.2100308,0.0002525699,0.00007496079,0.0004358197,0.000674305,0.0002192905,0.02169842],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001719383,"threshold_uncertainty_score":0.003448486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330145326101504,"score_gpt":0.2957694362998038,"score_spread":0.2824679830387887,"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."}}