{"id":"W4396796398","doi":"10.3390/biomedinformatics4020069","title":"A Smartphone-Based Algorithm for L Test Subtask Segmentation","year":2024,"lang":"en","type":"article","venue":"BioMedInformatics","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Test (biology); Artificial intelligence; Segmentation; Algorithm; Computer vision; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006893254,0.001216558,0.000740777,0.001971791,0.0004341448,0.0009857927,0.0009965668,0.0009270444,0.00528592],"category_scores_gemma":[0.004621288,0.0003035713,0.0005074433,0.0008084929,0.0002506777,0.0004986884,0.0008204831,0.0006041028,0.003292598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005940874,"about_ca_system_score_gemma":0.001190246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005648953,"about_ca_topic_score_gemma":0.007509106,"domain_scores_codex":[0.9992805,0.0001075307,0.0000900739,0.000253786,0.0002126908,0.00005551705],"domain_scores_gemma":[0.9980454,0.000702474,0.0002063205,0.0001495873,0.0007970512,0.00009914691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006935214,0.0001770918,0.009518526,0.0001743837,0.00008271135,0.0002813011,0.0001978813,0.01205036,0.03346172,0.0008748195,0.01347662,0.9290111],"study_design_scores_gemma":[0.000244582,0.0004697636,0.01720136,0.0000799553,0.00009185648,0.001211955,0.000190541,0.9123768,0.04860188,0.003738249,0.01569957,0.00009358282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04258592,0.0004030247,0.9372845,0.0002610935,0.0001042104,0.0005233543,0.0009332585,0.01566067,0.002243997],"genre_scores_gemma":[0.2351962,0.0001714827,0.7584174,0.0002299297,0.00004977224,0.0007442412,0.001701034,0.000462137,0.003027741],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005648953,"threshold_uncertainty_score":0.01768315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916356167432356,"score_gpt":0.2809780010925949,"score_spread":0.2618144394182713,"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."}}