{"id":"W4313486070","doi":"10.5281/zenodo.5533617","title":"UniSAFE National researcher report - Canada","year":2021,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Geography","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007320082,0.0009598886,0.0007356093,0.00905221,0.007755676,0.006685611,0.002545816,0.001196633,0.03987439],"category_scores_gemma":[0.007080735,0.0006665149,0.0007024877,0.01261525,0.000956155,0.001093381,0.003129339,0.001406756,0.01516712],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07482284,"about_ca_system_score_gemma":0.3387887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907219,"about_ca_topic_score_gemma":0.9916735,"domain_scores_codex":[0.9874234,0.0004663794,0.0004014739,0.0005870854,0.008753521,0.002368076],"domain_scores_gemma":[0.9790437,0.0005956701,0.0004323777,0.0004938919,0.01695811,0.002476248],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001901385,0.0001438915,0.01429029,0.000551842,0.00003394223,0.0002376127,0.001195413,0.0004634157,0.0005209674,0.009760379,0.9309698,0.04164233],"study_design_scores_gemma":[0.00001960291,0.00003694323,0.02647692,0.0001633379,0.00002227861,0.00008375463,0.001971403,0.000224157,0.001201449,0.000353728,0.9694015,0.00004501887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02055439,0.005768927,0.001736599,0.009478427,0.001077608,0.001774853,0.5773154,0.001232434,0.3810613],"genre_scores_gemma":[0.03440364,0.006771552,0.006118048,0.001824764,0.0001172661,0.001142928,0.2246209,0.0005639662,0.7244369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9926799,"threshold_uncertainty_score":0.5428802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1256192610836784,"score_gpt":0.3161269246766754,"score_spread":0.1905076635929969,"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."}}