{"id":"W6927077983","doi":"10.25976/xy3y-d858","title":"RivTemp--MPO_Moncton","year":2021,"lang":"en","type":"dataset","venue":"DataStream","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Variety (cybernetics); Foundation (evidence); Watershed; Oncorhynchus","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":[0.001158423,0.001404535,0.00120501,0.002462541,0.0006643216,0.002186453,0.002602086,0.001701357,0.08601483],"category_scores_gemma":[0.00561406,0.0007333537,0.001350579,0.005435866,0.0003131856,0.001055197,0.001873596,0.001642144,0.09562918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002010255,"about_ca_system_score_gemma":0.003510256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0641422,"about_ca_topic_score_gemma":0.106162,"domain_scores_codex":[0.9990701,0.0001780997,0.0001097975,0.0002585993,0.0001938769,0.0001895789],"domain_scores_gemma":[0.9975618,0.0006266861,0.0003153761,0.0005207584,0.0006420173,0.0003333334],"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":[0.00006666251,0.00001213849,0.001181013,0.0003437975,0.0000228533,0.00001276791,0.00001410725,0.0001571529,0.00004402171,0.0003330365,0.9963654,0.001447038],"study_design_scores_gemma":[0.0002923303,0.00002119814,0.007979924,0.0003564344,0.00003460427,0.00004938576,0.00006141803,0.0005217892,0.0002359546,0.0009432934,0.9894781,0.00002556835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006033012,0.0000189541,0.00003065966,0.00004342396,0.000009854231,0.000005894059,0.9993205,0.0001157063,0.0003947683],"genre_scores_gemma":[0.0002604921,0.00003005026,0.0001411436,0.00004758631,0.000004830995,0.00005362456,0.9989434,0.00004578409,0.0004730864],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08601483,"threshold_uncertainty_score":0.2877483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280958981260726,"score_gpt":0.3227839024774305,"score_spread":0.2999743126648232,"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."}}