{"id":"W6960743295","doi":"10.14288/1.0367528","title":"[Montreal Portraits]","year":2017,"lang":"en","type":"other","venue":"Open Collections","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Perspective (graphical); Set (abstract data type); Identification (biology); Natural (archaeology)","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":[0.0007347129,0.0008778509,0.0002621841,0.002363467,0.01858979,0.005022462,0.002089087,0.001399634,0.1044405],"category_scores_gemma":[0.001290278,0.0003091422,0.0004034711,0.004953959,0.003082333,0.001828981,0.002611249,0.001816199,0.01359516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03237141,"about_ca_system_score_gemma":0.03554231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9783909,"about_ca_topic_score_gemma":0.9931502,"domain_scores_codex":[0.9992048,0.00006944217,0.00001132226,0.00008462083,0.0003022645,0.0003275328],"domain_scores_gemma":[0.9992342,0.00003813897,0.00002580819,0.00003373668,0.0003653049,0.0003027139],"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":[0.00001627761,0.000008487699,0.0008076406,0.00005941284,0.000003390338,0.000292989,0.004643945,0.00006986084,0.0002246791,0.02623418,0.9439543,0.02368485],"study_design_scores_gemma":[0.000001151263,0.00000100114,0.00120302,0.0000194199,0.00000101644,0.00004631636,0.001261059,0.00001061476,0.00002143996,0.0002081065,0.9972205,0.000006322474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005262744,0.0105062,0.001085551,0.0307803,0.003553831,0.0001446625,0.005642838,0.0004338581,0.94259],"genre_scores_gemma":[0.02781113,0.003985465,0.0009004269,0.00419033,0.0004658257,0.000069742,0.001478036,0.0003347842,0.9607643],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1044405,"threshold_uncertainty_score":0.3493882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504027968039743,"score_gpt":0.2498871448684602,"score_spread":0.2248468651880627,"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."}}