{"id":"W3207812700","doi":"10.5539/jmr.v13n6p1","title":"Novel Modeling of Parameters Related to Intra-Firm Diffusion Innovation","year":2021,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Aberdeen; University of Carthage","keywords":"Mathematics; Curvature; Reciprocal; Asymptote; Tangent; Diffusion; Econometrics; Mathematical analysis; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.019349,0.00009681805,0.0004084258,0.002158721,0.0001546832,0.0001925792,0.0006243591,0.000108484,0.0003239521],"category_scores_gemma":[0.03983342,0.0000693391,0.0001080673,0.006958385,0.00006779546,0.0002479134,0.000308392,0.0006218823,0.00004917952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008084623,"about_ca_system_score_gemma":0.0003428703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003821448,"about_ca_topic_score_gemma":0.000002353582,"domain_scores_codex":[0.9926864,0.0001981898,0.002565423,0.0001920315,0.004087585,0.0002703842],"domain_scores_gemma":[0.9850137,0.001862194,0.0008392429,0.0004057995,0.01177426,0.0001048296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001037941,0.001554819,0.00055116,0.0001062148,0.0000721189,0.00005896826,0.01043767,0.02535042,0.8078965,0.1031514,0.003851595,0.04686535],"study_design_scores_gemma":[0.001095862,0.0002990921,0.0002637475,0.0005939677,0.000009737507,0.0003272595,0.01534316,0.7268147,0.02857908,0.2259114,0.0005959843,0.0001659328],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8540548,0.00002228758,0.1409927,0.001676741,0.0002269109,0.0001033884,0.000002527304,0.000004290591,0.002916357],"genre_scores_gemma":[0.8896304,0.00001025687,0.1092817,0.00008753873,0.0000282309,0.000001370429,0.000001154648,0.00001354795,0.0009457259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7793174,"threshold_uncertainty_score":0.9682544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.420196454826556,"score_gpt":0.4899462647939896,"score_spread":0.06974980996743357,"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."}}