{"id":"W3081022953","doi":"","title":"Preventing a Pipeline from Bisecting Canada","year":2014,"lang":"en","type":"article","venue":"New York Times","topic":"Border Security and International Relations","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Computer science; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000182158,0.00004287813,0.00005749057,0.00001643348,0.0003129951,0.00005120658,0.00013813,0.00003862252,0.001661835],"category_scores_gemma":[0.0006155853,0.00004531928,0.00002499269,0.0001035507,0.00002091832,0.0000832862,0.00001704895,0.00008634967,0.00004634499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005778251,"about_ca_system_score_gemma":0.0005195281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9548831,"about_ca_topic_score_gemma":0.9695933,"domain_scores_codex":[0.9993484,0.00006456178,0.0001064774,0.0001028036,0.0002485475,0.0001292284],"domain_scores_gemma":[0.9994729,0.0002973482,0.00005325442,0.00006210108,0.00003595784,0.00007843606],"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":[0.000006816655,0.00003764405,0.01538014,0.000003659063,0.00004801857,0.000001297774,0.01633389,0.0002116308,0.00005916687,0.2603191,0.5702217,0.137377],"study_design_scores_gemma":[0.00009959131,0.000003542694,0.001679995,0.00002273333,0.000007461351,7.77762e-8,0.0006594506,0.001817971,0.00005408854,0.0140265,0.98156,0.00006860415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07655854,0.0005286724,0.004372078,0.01255041,0.0009743634,0.0001184955,0.0000118375,0.00009965993,0.9047859],"genre_scores_gemma":[0.9570984,0.000005226316,0.00111906,0.0004226756,0.0009414485,0.000001342152,0.00001019645,0.00000451702,0.04039712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8805399,"threshold_uncertainty_score":0.9992508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935375830227501,"score_gpt":0.2688771970125019,"score_spread":0.2495234387102269,"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."}}