{"id":"W7001246369","doi":"","title":"Indus, Trilegal help LGT invest $50m in Canadian AMPSolar India subsidiary","year":2020,"lang":"en","type":"other","venue":"","topic":"European Socioeconomic and Political Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; Work (physics); Production (economics); Corporate governance; Quality (philosophy)","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":[],"category_scores_codex":[0.0004790387,0.0006891605,0.0003259345,0.001818008,0.004191873,0.003372048,0.001117528,0.002097613,0.3075422],"category_scores_gemma":[0.002376709,0.0003673846,0.0004705541,0.001252741,0.0007812351,0.001033386,0.001710249,0.002483188,0.08667883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01735326,"about_ca_system_score_gemma":0.04489797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8459849,"about_ca_topic_score_gemma":0.9429228,"domain_scores_codex":[0.9991098,0.0000195293,0.00001031821,0.00006328472,0.0003528988,0.0004440391],"domain_scores_gemma":[0.9980926,0.00006582044,0.00003903162,0.00007182829,0.000864865,0.0008658145],"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":[0.00003510401,0.00002913732,0.0008306655,0.00002047856,0.000002755859,0.00003974813,0.0000378531,0.00005943752,0.00009204046,0.00529553,0.9774644,0.01609279],"study_design_scores_gemma":[0.00002661794,0.00001852815,0.00605096,0.0000416945,0.000005507058,0.00003570938,0.0002194035,0.0002113036,0.0002450643,0.0007334077,0.9924015,0.00001022997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008077947,0.0006602539,0.0003063657,0.0096705,0.0008884468,0.0001736485,0.02246391,0.0009585024,0.9568005],"genre_scores_gemma":[0.008729678,0.0002030145,0.0001287187,0.0009807362,0.00004976547,0.00002293869,0.003254614,0.0001091867,0.9865215],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3075422,"threshold_uncertainty_score":0.987707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053187523467004,"score_gpt":0.2005761968684205,"score_spread":0.1700443216337505,"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."}}