{"id":"W6931282664","doi":"10.5281/zenodo.3788543","title":"Enargia decolor","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Aedeagus; Ovipositor; Sympatric speciation; Boreal; Margin (machine learning); Scaling","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000081201,0.0006676296,0.0003186305,0.001106631,0.0007818693,0.0004571015,0.0004636929,0.0003144484,0.02917501],"category_scores_gemma":[0.0001697157,0.0001252938,0.0002125608,0.0006427063,0.0003634936,0.0006890328,0.0005900579,0.0009173069,0.009783252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005917961,"about_ca_system_score_gemma":0.0004645871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007538242,"about_ca_topic_score_gemma":0.02020329,"domain_scores_codex":[0.9999049,0.000009685204,0.000007651237,0.00003009344,0.00003374815,0.00001402267],"domain_scores_gemma":[0.9999558,0.000004033693,0.00001097968,0.000005046758,0.00001633965,0.000007845324],"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":[0.0006746328,0.0002377063,0.003552055,0.001781448,0.00006218017,0.00156456,0.0005720786,0.0006494127,0.166412,0.007739961,0.08166806,0.7350861],"study_design_scores_gemma":[0.00009102681,0.0002997456,0.02394791,0.0002586335,0.00004582164,0.002487908,0.00033635,0.0003147908,0.02001298,0.001362865,0.9508104,0.00003163631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1551102,0.02139125,0.009594153,0.002840893,0.001328705,0.0007311704,0.007264084,0.001937671,0.7998019],"genre_scores_gemma":[0.7120281,0.008006538,0.01023017,0.002895568,0.000318453,0.0002447908,0.004568793,0.0002925075,0.261415],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02917501,"threshold_uncertainty_score":0.09760016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03165367448872393,"score_gpt":0.2900723908846594,"score_spread":0.2584187163959354,"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."}}