{"id":"W6960854367","doi":"10.1371/journal.pone.0300216.t003","title":"Identification of the most suitable LSTM configuration with a single hidden layer for the Canada dataset.","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Layer (electronics); Pattern recognition (psychology); Artificial neural network; Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008192522,0.004972856,0.001352326,0.002430043,0.001499996,0.001791892,0.004282779,0.00274518,0.03612136],"category_scores_gemma":[0.004536777,0.0007145536,0.002175859,0.002843736,0.000679726,0.001094492,0.001331598,0.002060721,0.03999253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00578446,"about_ca_system_score_gemma":0.01024436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5565367,"about_ca_topic_score_gemma":0.8087584,"domain_scores_codex":[0.9991738,0.00009161346,0.00004594285,0.0002666074,0.0002284744,0.0001934768],"domain_scores_gemma":[0.9986331,0.000291847,0.00003987538,0.0002250862,0.000681985,0.0001281053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002013501,0.00006063711,0.001265576,0.0005066457,0.00009774707,0.00007523609,0.00003085637,0.002009048,0.0007397666,0.0003597579,0.9764907,0.01816273],"study_design_scores_gemma":[0.001172177,0.0001737573,0.01630336,0.000888514,0.0004222331,0.0004032102,0.000771515,0.03882417,0.01326642,0.004838649,0.9227092,0.0002267965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004194624,0.0007595393,0.001748079,0.000288418,0.0002182017,0.00009912052,0.9828148,0.005913103,0.003964071],"genre_scores_gemma":[0.004563867,0.0001252825,0.003359381,0.00008688634,0.0000101542,0.0001400881,0.988273,0.000321718,0.003119694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4434633,"threshold_uncertainty_score":0.8921499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274954575455676,"score_gpt":0.2153648656161895,"score_spread":0.1826153198616327,"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."}}