{"id":"W4318574701","doi":"10.32920/21979697.v1","title":"Forging Paths to Enhanced Innovation","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Management; Profit (economics); Government (linguistics); Political science; For profit; Engineering; Public administration; Economic history; Library science; Business; Economics; Finance; Philosophy; Computer science; Neoclassical economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005866823,0.0002029156,0.0002176818,0.0009575354,0.0001223178,0.0004407782,0.000256845,0.000148184,0.0006435119],"category_scores_gemma":[0.0001360268,0.0002132421,0.00004405668,0.0008583784,0.000009253397,0.0002586314,0.00100151,0.0002203835,0.00615835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127512,"about_ca_system_score_gemma":0.00007046468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001610542,"about_ca_topic_score_gemma":0.0000513305,"domain_scores_codex":[0.9986489,0.000002255473,0.0005391301,0.0004025608,0.0001665712,0.0002406221],"domain_scores_gemma":[0.9990211,0.00001243671,0.0002745746,0.0002523522,0.0004344668,0.000005110836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001369543,0.00003483746,0.001505809,0.0004581034,0.00007950946,0.000003710114,0.0004624873,0.00099747,0.0007526722,0.7612321,0.1911053,0.04335434],"study_design_scores_gemma":[0.0008681947,0.000005660952,0.03021899,0.0004331436,0.00003708715,2.338735e-7,0.001905148,0.004654891,0.001538755,0.1692242,0.7890477,0.00206606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.573761,0.000002061131,0.07552695,0.01457545,0.007906926,0.001125341,0.000004484529,0.001366178,0.3257316],"genre_scores_gemma":[0.9356104,0.000002024726,0.00317325,0.02847534,0.001830853,0.0002368882,0.0005093689,0.00006926883,0.03009267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5979424,"threshold_uncertainty_score":0.9946155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05094123411736123,"score_gpt":0.2736014907256635,"score_spread":0.2226602566083023,"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."}}