{"id":"W6963737102","doi":"10.25318/2710027201-eng","title":"Innovation and business strategy, time frame of production performance targets for highest selling good or service","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":"Production (economics); Frame (networking); Service (business); Sampling frame; Business process","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":[],"consensus_categories":[],"category_scores_codex":[0.001148883,0.001689341,0.001585158,0.005926101,0.001229994,0.002408165,0.003469802,0.001683603,0.03744011],"category_scores_gemma":[0.01134625,0.0008959199,0.001581529,0.01787724,0.0004367297,0.001138481,0.001429069,0.00228207,0.02300031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0101766,"about_ca_system_score_gemma":0.02225363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8865042,"about_ca_topic_score_gemma":0.9098733,"domain_scores_codex":[0.9985605,0.00009901188,0.0002200325,0.0002753524,0.0004684947,0.0003766328],"domain_scores_gemma":[0.9916283,0.0009851191,0.0009141376,0.0005827588,0.005242297,0.0006473564],"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":[0.00006017934,0.0000170174,0.003710701,0.0005913633,0.00004328867,0.00001197361,0.00001970126,0.0002106948,0.00002079026,0.0003342564,0.9939125,0.001067592],"study_design_scores_gemma":[0.0007476704,0.00003686837,0.1361197,0.001104544,0.0001913438,0.00007562561,0.0003682469,0.000918376,0.0002496613,0.0007719644,0.8593231,0.00009284578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009682397,0.00003308226,0.00001076006,0.00003397593,0.000007461586,0.000005720544,0.999567,0.00002198401,0.0002232651],"genre_scores_gemma":[0.0007871009,0.00008089317,0.00008163802,0.00003829813,0.000006739031,0.0000655519,0.9980101,0.00001463303,0.0009150641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1134958,"threshold_uncertainty_score":0.2283284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509047563285053,"score_gpt":0.2703142549254104,"score_spread":0.2552237792925599,"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."}}