{"id":"W6963727859","doi":"10.25318/2710012101-eng","title":"Innovation and business strategy, government programs critical for innovation activities by industry and size","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Small business; Public policy; Business enterprise; Micro-enterprise","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"],"consensus_categories":[],"category_scores_codex":[0.0004064151,0.0004733551,0.0004203184,0.0001313517,0.000205643,0.00037904,0.0001388493,0.0005824828,0.00004253243],"category_scores_gemma":[0.004426712,0.0005409404,0.000006818319,0.001165032,0.0002051837,0.0003447302,0.00007401243,0.0005628434,0.000001063982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035749,"about_ca_system_score_gemma":0.0008848138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01710771,"about_ca_topic_score_gemma":0.09192233,"domain_scores_codex":[0.9971296,0.00005994032,0.0006396769,0.0005964178,0.001166187,0.0004082061],"domain_scores_gemma":[0.9964503,0.001383528,0.0006452525,0.0002802277,0.001162022,0.00007865467],"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":[0.00007301328,0.00009353911,0.00008705969,0.001550508,0.00004962432,0.000005129295,0.00001123745,0.000001702091,0.0006943816,0.008104966,0.9763347,0.01299415],"study_design_scores_gemma":[0.001501932,0.0005054561,0.02145846,0.001059716,0.0006073021,0.00002651817,0.001950138,0.0005531129,0.0007378701,0.002940914,0.9665606,0.002097959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007403388,0.00006371954,0.00141426,0.0001464068,0.0003831572,0.001246467,0.9893079,0.00002094228,0.00001374387],"genre_scores_gemma":[0.02029345,0.0000227398,0.0009441618,0.00007984356,0.0000930085,0.0003047835,0.9777865,0.00008443173,0.0003911071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07481462,"threshold_uncertainty_score":0.9997042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673185750870476,"score_gpt":0.3042738016779594,"score_spread":0.2875419441692546,"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."}}