{"id":"W6996249227","doi":"","title":"Public sector services for Finnish SMEs to internationalize to China : case \"Turku - Tianjin project\"","year":2012,"lang":"en","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Internationalization; Government (linguistics); Language change; Quarter (Canadian coin); Public sector; Ideology; Economic reform; Central government; Developing country","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001494362,0.001865675,0.001641802,0.00303573,0.0003298419,0.0008452671,0.002810647,0.001005755,0.01112744],"category_scores_gemma":[0.0004418128,0.001742108,0.0005371717,0.00173702,0.0001437826,0.0006558193,0.001130869,0.0006714582,0.02370749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008041626,"about_ca_system_score_gemma":0.0004404964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006290439,"about_ca_topic_score_gemma":0.01551277,"domain_scores_codex":[0.9927027,0.0004695181,0.001153721,0.001917736,0.00134208,0.002414202],"domain_scores_gemma":[0.9946055,0.0003672981,0.001016027,0.002304344,0.0004692311,0.001237547],"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":[0.00169875,0.002201071,0.0003687295,0.004382468,0.003678896,0.001097331,0.01203581,0.00003773175,0.002521324,0.008567123,0.4933121,0.4700986],"study_design_scores_gemma":[0.001479032,0.0002825836,0.0002226639,0.0008637318,0.0002789707,0.0009054448,0.0003571766,0.00008337922,0.000412668,0.0004674656,0.992569,0.002077883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004576388,0.001123677,0.001136794,0.002428102,0.002623749,0.009742684,0.01285395,0.003031673,0.962483],"genre_scores_gemma":[0.02309942,0.00001260222,0.009803079,0.001262356,0.004539157,0.003548375,0.001472601,0.005217051,0.9510453],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4992569,"threshold_uncertainty_score":0.9994088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05073037434269626,"score_gpt":0.3059148970595182,"score_spread":0.255184522716822,"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."}}