{"id":"W7100387439","doi":"","title":"METHODOLOGY Open Access Applying","year":2016,"lang":"en","type":"article","venue":"","topic":"Optics and Image Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Set (abstract data type); Data collection; Selection (genetic algorithm); Data access","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.1306913,0.004244001,0.01248129,0.06198761,0.004300509,0.008433277,0.007095562,0.007910944,0.1129757],"category_scores_gemma":[0.3280856,0.0043326,0.009724935,0.04040464,0.003149283,0.005837771,0.01368372,0.002854708,0.009275377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009788293,"about_ca_system_score_gemma":0.06006018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009731315,"about_ca_topic_score_gemma":0.01510166,"domain_scores_codex":[0.8330498,0.07243527,0.06273647,0.01421213,0.01462198,0.002944334],"domain_scores_gemma":[0.7339091,0.155688,0.02532848,0.03181313,0.05101382,0.002247408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002354242,0.0002849275,0.002376002,0.6626733,0.004967454,0.001643637,0.01179725,0.00154654,0.002871483,0.02722196,0.0359142,0.2463491],"study_design_scores_gemma":[0.01388442,0.002010733,0.01218655,0.3631417,0.02529511,0.00182595,0.0143027,0.005204782,0.007821481,0.08210911,0.4706984,0.001519142],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"other","genre_scores_codex":[0.008935992,0.01569719,0.1164688,0.0047478,0.001685598,0.7631954,0.06664025,0.002102247,0.02052666],"genre_scores_gemma":[0.01791056,0.003230487,0.1360615,0.001279968,0.0001738844,0.8342472,0.003631451,0.0002702528,0.003194568],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8870243,"threshold_uncertainty_score":0.6911698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2310011863581464,"score_gpt":0.4015276434345674,"score_spread":0.1705264570764211,"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."}}