{"id":"W6926408480","doi":"10.24433/co.9d2b64f4-4c32-4066-b36c-f984fc38df7c","title":"Pixel-based Adaptive Word Consensus Segmenter (PAWCS)","year":2017,"lang":"en","type":"other","venue":"Code Ocean","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"","keywords":"Segmentation; Snapshot (computer storage); Pattern recognition (psychology); Baseline (sea); Image segmentation","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001182117,0.0003759311,0.0006006252,0.0001788894,0.00008602216,0.00003485947,0.0002320455,0.0003951752,0.002894741],"category_scores_gemma":[0.0001631349,0.0002757428,0.000164038,0.000057286,0.000253055,0.000009756372,0.00006030679,0.0003766915,0.0003508503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006722956,"about_ca_system_score_gemma":0.0001845218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007704431,"about_ca_topic_score_gemma":0.0001091075,"domain_scores_codex":[0.9987032,0.00003967004,0.0001767814,0.0005567067,0.0002025506,0.0003210742],"domain_scores_gemma":[0.998511,0.00003546547,0.0002951235,0.0009135481,0.00008474729,0.0001600912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002504328,0.00007232748,0.00006000958,0.0001711866,0.000178186,0.000112818,0.00001041394,6.816376e-8,0.00302422,0.00001381573,0.9885107,0.007595849],"study_design_scores_gemma":[0.001016065,0.000120775,0.00005242777,0.001601708,0.0002666244,0.00002618282,0.000009974433,0.00001631866,0.005814008,0.000006741014,0.9907405,0.0003287153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001300911,0.005003739,0.00005394222,0.005954836,0.001659688,0.001552482,0.001081409,0.0005401208,0.9828529],"genre_scores_gemma":[0.04008169,0.0001096951,0.00152752,0.001291717,0.001385809,5.768057e-7,0.0001360957,0.0003897774,0.9550771],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03878078,"threshold_uncertainty_score":0.9999695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291161830871071,"score_gpt":0.2680859316105196,"score_spread":0.2389697485234125,"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."}}