{"id":"W6931763443","doi":"10.5683/sp/xgz9ef","title":"Survey of Innovation and Business Strategy 2007-2009: Government Support Programs Table 99 [Canada] [Excel]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Neonatal and Maternal Infections","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Product (mathematics); Table (database); Production (economics); Strategic management; Product innovation; Technology strategy; Relocation; Innovation management","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001280086,0.001408519,0.001129385,0.006947844,0.001532592,0.001889284,0.00247611,0.0007696945,0.02938043],"category_scores_gemma":[0.009165681,0.0008556967,0.001021624,0.0218967,0.0002852456,0.0006750484,0.001366504,0.001488759,0.01645204],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01404697,"about_ca_system_score_gemma":0.0268393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9447667,"about_ca_topic_score_gemma":0.9562944,"domain_scores_codex":[0.9983687,0.0001206612,0.0002141348,0.0002500363,0.0006324836,0.000414132],"domain_scores_gemma":[0.9904075,0.0008719792,0.0007547027,0.0004473007,0.006825982,0.000692604],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008083053,0.00004363409,0.0139818,0.000547651,0.00005601126,0.00002896104,0.00009465625,0.0003824396,0.00004709968,0.000450085,0.9796424,0.004644424],"study_design_scores_gemma":[0.0003472171,0.0000338512,0.3248276,0.0006812612,0.0001030271,0.00006042962,0.0008064632,0.001202856,0.0004252702,0.0003933586,0.6710169,0.000101767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005238249,0.00002080212,0.00002706577,0.00002214562,0.000003892996,0.00002718824,0.9986713,0.00003895453,0.0006648772],"genre_scores_gemma":[0.001481338,0.00005537545,0.0002123163,0.00002621217,0.000003293575,0.0001725685,0.9966909,0.00002198119,0.001336066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9987199,"threshold_uncertainty_score":0.1111171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03309336466974686,"score_gpt":0.2792009100389951,"score_spread":0.2461075453692483,"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."}}