{"id":"W7004948925","doi":"","title":"Orphans in Canadian Literature","year":2017,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Ethnic group; Agency (philosophy); Canadian studies; Work (physics); Subject (documents)","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001550217,0.0003983253,0.0004279912,0.0002114939,0.0006568898,0.001422269,0.0006769483,0.0008757267,0.00001414308],"category_scores_gemma":[0.0002647635,0.00022659,0.0003103029,0.0003679824,0.00008026705,0.00152832,0.00002866649,0.0005829298,0.00001261278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003885468,"about_ca_system_score_gemma":0.0003635006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009871948,"about_ca_topic_score_gemma":0.04761109,"domain_scores_codex":[0.99745,0.00006673348,0.000555167,0.0006235862,0.0008551069,0.0004493877],"domain_scores_gemma":[0.9978155,0.0001302846,0.0005510029,0.0001548314,0.001037592,0.0003107228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003443216,0.001949342,0.4465635,0.002142944,0.0009004725,0.009244825,0.01098776,0.0001076477,0.4022252,0.008070557,0.05850693,0.05585758],"study_design_scores_gemma":[0.0003931288,0.0002523461,0.8722786,0.004730354,0.00005683746,0.0004628526,0.0003878055,0.00005139161,0.008598769,0.001337321,0.1102979,0.00115267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7362089,0.002539766,3.104444e-8,0.00006744615,0.001690743,0.0002469633,0.00140266,0.00003634282,0.2578071],"genre_scores_gemma":[0.9169162,0.0000548846,0.000006643108,0.00003142387,0.0006894714,0.00001361098,0.01213788,0.000003982267,0.07014593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4257151,"threshold_uncertainty_score":0.9996144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008179266922044957,"score_gpt":0.2045747141662149,"score_spread":0.1963954472441699,"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."}}