{"id":"W6940975106","doi":"10.13140/rg.2.1.2357.5203","title":"Optimal Screening Approaches - Coordinating Optimal Screening Programs in Canada: A Multifaceted Approach","year":2015,"lang":"en","type":"other","venue":"","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Key (lock); Measure (data warehouse); Matching (statistics); Selection (genetic algorithm)","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":[0.006169469,0.0009702145,0.001320584,0.003120526,0.002931096,0.004915277,0.002489762,0.001236211,0.005874025],"category_scores_gemma":[0.01426633,0.0007656012,0.0008591969,0.003726907,0.00171436,0.001937368,0.002697153,0.001256476,0.0003347116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05440041,"about_ca_system_score_gemma":0.1389986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9346862,"about_ca_topic_score_gemma":0.9617689,"domain_scores_codex":[0.9947147,0.001535862,0.0001983589,0.0006110672,0.001480474,0.001459576],"domain_scores_gemma":[0.9927611,0.002538216,0.0005077577,0.0003902367,0.002858353,0.0009444157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006191123,0.0006086797,0.02698574,0.000651261,0.000292847,0.0004369417,0.0005619415,0.6065726,0.004333279,0.05699734,0.01789656,0.2840437],"study_design_scores_gemma":[0.0001803888,0.0002263869,0.02528949,0.0002204726,0.0002519026,0.00009804894,0.002488097,0.9054964,0.004014664,0.04075865,0.02080472,0.0001708581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3446382,0.007975544,0.4989917,0.02059215,0.0002135205,0.004195286,0.00402561,0.002509944,0.116858],"genre_scores_gemma":[0.8279088,0.002003226,0.1610092,0.00047809,0.00002826712,0.0002036532,0.0008064047,0.0001129786,0.007449367],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06531376,"threshold_uncertainty_score":0.3947044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08286364751899514,"score_gpt":0.2161333886538111,"score_spread":0.133269741134816,"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."}}