{"id":"W6923729340","doi":"10.14288/1.0223671","title":"CiTR - 1. opening. CiTR - 2. questions","year":2016,"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":"Statistical analysis; Cover (algebra); Table (database); Connection (principal bundle)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001731503,0.001156401,0.0008250645,0.001534919,0.002276721,0.004531619,0.001734023,0.003758914,0.8717391],"category_scores_gemma":[0.007993577,0.0008762117,0.0006942317,0.001153985,0.0007580474,0.003476684,0.003753712,0.002207811,0.7854223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002301579,"about_ca_system_score_gemma":0.001887114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01835504,"about_ca_topic_score_gemma":0.03750953,"domain_scores_codex":[0.9987093,0.0001967159,0.00005810117,0.0001196761,0.000686999,0.0002291803],"domain_scores_gemma":[0.99576,0.0008454366,0.0001495483,0.0005507082,0.002004167,0.000690049],"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":[0.00008696158,0.00003357076,0.0001326352,0.0001011276,0.000001174569,0.00004005606,0.00009753642,0.00003375384,0.0001577811,0.001703724,0.9828699,0.01474181],"study_design_scores_gemma":[0.00002466067,0.00001790755,0.0006962458,0.00007818271,0.000001254073,0.0000226124,0.00009306429,0.00005203931,0.0001978833,0.0006665362,0.9981345,0.00001518598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004044519,0.0001717079,0.0007432556,0.0009064829,0.0005956204,0.0003469195,0.02012828,0.004123675,0.9725797],"genre_scores_gemma":[0.002576608,0.00008073273,0.0003461356,0.0005377454,0.0001514439,0.0001664163,0.007281401,0.001844987,0.9870145],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1282609,"threshold_uncertainty_score":0.1829485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008952090575367957,"score_gpt":0.1956513795015768,"score_spread":0.1866992889262089,"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."}}