{"id":"W6886089659","doi":"10.14288/1.0380282","title":"Informational Interview with Inderjit Kaur Sidhu","year":2019,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Interview; Semi-structured interview; Qualitative research","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":[0.0007162945,0.0002565146,0.0003247044,0.0008803788,0.008054608,0.001526009,0.0002942375,0.0009661614,0.0450539],"category_scores_gemma":[0.002402342,0.0002420403,0.00008934201,0.0007085807,0.00052151,0.0005440955,0.0009625151,0.00153589,0.01380686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002119075,"about_ca_system_score_gemma":0.003006742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04744943,"about_ca_topic_score_gemma":0.1330132,"domain_scores_codex":[0.9995402,0.0001466608,0.00001990819,0.00003973348,0.00008689829,0.0001666273],"domain_scores_gemma":[0.9988247,0.0002421328,0.00007945359,0.00003829884,0.0004657911,0.0003497045],"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":[0.0002827089,0.0005061748,0.02249126,0.0001813905,0.000005545543,0.002966574,0.3018059,0.0001102385,0.004517656,0.007762727,0.614126,0.04524384],"study_design_scores_gemma":[0.00001761648,0.000131665,0.02320521,0.0001207043,0.000004518043,0.00104964,0.2443682,0.0002522967,0.001376544,0.0003968294,0.7290336,0.00004331012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4276368,0.001167461,0.001497302,0.03266356,0.001493192,0.001422473,0.003783738,0.0003891459,0.5299463],"genre_scores_gemma":[0.4939151,0.0009383096,0.001512123,0.009712734,0.0003002062,0.00106889,0.0006819691,0.0000878298,0.4917827],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04744943,"threshold_uncertainty_score":0.1507203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009458314294335354,"score_gpt":0.1682487521602351,"score_spread":0.1587904378658998,"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."}}