{"id":"W7011103177","doi":"","title":"Mahindra Aerospace & Canada’s Viking Air Ltd to form strategic alliance to help boost India's regional air connectivity","year":2018,"lang":"en","type":"other","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Aerospace; Alliance; Strategic alliance; Aviation; Air cargo; Air travel","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":[0.00052187,0.0006102758,0.000193132,0.001487882,0.003117583,0.003304261,0.0007151656,0.001951676,0.2944633],"category_scores_gemma":[0.002565211,0.0002970047,0.0003080507,0.0008241432,0.0008906854,0.001315162,0.001644469,0.002394657,0.09813627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00458377,"about_ca_system_score_gemma":0.01473139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1088081,"about_ca_topic_score_gemma":0.2597661,"domain_scores_codex":[0.9993697,0.00004107776,0.00001510671,0.00005021993,0.0002954997,0.0002284793],"domain_scores_gemma":[0.9956245,0.0003325604,0.0001158601,0.0002262091,0.001983324,0.00171771],"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":[0.00004654693,0.00007232627,0.001790688,0.0000770793,0.000002775401,0.0002101055,0.0002218418,0.0001164976,0.000492281,0.01685874,0.9206983,0.05941281],"study_design_scores_gemma":[0.000007426387,0.00001335515,0.002714465,0.00003037588,0.000001736637,0.00008355889,0.0002082844,0.0001170109,0.0003954003,0.0006985413,0.9957248,0.000005109238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002863731,0.0003183379,0.0003812504,0.005554816,0.0008388102,0.0001022721,0.002571294,0.0005479848,0.9868216],"genre_scores_gemma":[0.007071333,0.0002114071,0.0002431316,0.0007959655,0.00008417521,0.00002411246,0.0007386848,0.0001521522,0.990679],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8911919,"threshold_uncertainty_score":0.9850778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583950130115063,"score_gpt":0.2858175385434913,"score_spread":0.2499780372423407,"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."}}