{"id":"W2770399963","doi":"10.1139/cjfr-2017-0219","title":"Firm-level competitiveness in the forest industries: review and research implications in the context of bioeconomy strategies","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Academy of Finland","keywords":"Competitor analysis; Context (archaeology); Business; Industrial organization; Competitive advantage; Value (mathematics); Economic geography; Economics; Marketing; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009354233,0.00007100934,0.000204449,0.0001081787,0.0008265291,0.0003614042,0.001416234,0.00007981683,0.00008029879],"category_scores_gemma":[0.001000258,0.0000248475,0.00003646361,0.000390276,0.001302196,0.0002697578,0.00006147142,0.000777903,0.000002044503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001318786,"about_ca_system_score_gemma":0.001226991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05591435,"about_ca_topic_score_gemma":0.8047,"domain_scores_codex":[0.9981744,0.0006710835,0.000369325,0.0001333978,0.0002303169,0.0004215278],"domain_scores_gemma":[0.9976492,0.00123932,0.0001204449,0.0001759394,0.0006641546,0.0001509352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001046019,0.00003160939,0.9264748,0.00008703097,0.000007097244,0.00002799642,0.001282313,8.227537e-7,0.00000853579,0.04115267,0.001095923,0.02982072],"study_design_scores_gemma":[0.00009920078,0.0001523083,0.8956175,0.0002111609,0.000001858225,0.00002522839,0.02642007,4.342282e-7,0.000005571627,0.006200929,0.0712233,0.00004245014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047034,0.002473362,2.577243e-7,0.09054274,0.00001360397,0.0005386908,0.00003698886,3.479662e-7,0.001690546],"genre_scores_gemma":[0.9986949,0.0009216907,0.000005166113,0.0002349656,0.00004215104,0.0000439647,0.000005056353,5.839545e-7,0.000051544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7487857,"threshold_uncertainty_score":0.9503724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2089364673157913,"score_gpt":0.3802474117508715,"score_spread":0.1713109444350802,"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."}}