{"id":"W1983035802","doi":"10.1016/s0007-6813(03)00070-3","title":"Technology industry success: strategic options for small and medium firms","year":2003,"lang":"en","type":"article","venue":"Business Horizons","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Business; Industrial organization; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002744198,0.0003446479,0.0002069402,0.001687497,0.002516207,0.01091368,0.0005863134,0.002006735,0.01287953],"category_scores_gemma":[0.00654583,0.000118678,0.0001967139,0.001145806,0.002993865,0.007216163,0.003564495,0.001233603,0.0009353809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0029379,"about_ca_system_score_gemma":0.004974482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003674673,"about_ca_topic_score_gemma":0.01405213,"domain_scores_codex":[0.9987607,0.0005254116,0.00002488745,0.00006219486,0.0001994046,0.0004273487],"domain_scores_gemma":[0.9939365,0.002135372,0.0005123208,0.0001055718,0.0005010227,0.002809232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009139982,0.0006157776,0.07395376,0.000277982,0.00004689832,0.0008323866,0.0130709,0.002402885,0.00185623,0.6266331,0.02160865,0.2577874],"study_design_scores_gemma":[0.0001444222,0.001395018,0.09460045,0.0006072597,0.000117065,0.0007304747,0.1515783,0.008914459,0.002357578,0.602659,0.1367515,0.0001444823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6142701,0.004230392,0.003784177,0.05337716,0.00008917703,0.00004200038,0.0001149404,0.00006834448,0.3240237],"genre_scores_gemma":[0.995271,0.0005695127,0.0003019958,0.0002562409,0.00003001964,0.000009757558,0.00002028992,0.000004842726,0.003536371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01287953,"threshold_uncertainty_score":0.04308629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06023608450416263,"score_gpt":0.3162243898209836,"score_spread":0.255988305316821,"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."}}