{"id":"W4409250366","doi":"10.54932/hjyg8316","title":"Dynamic Patent Races with Absorptive Capacity: An Experimental Investigation on R&D Behavior","year":2025,"lang":"en","type":"report","venue":"","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University","keywords":"Absorptive capacity; Business; Industrial organization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00238723,0.0005842305,0.0008400576,0.0003555565,0.0006671962,0.001202281,0.0009098588,0.001014368,0.007060893],"category_scores_gemma":[0.008249328,0.0003515929,0.000433182,0.0003031988,0.001212944,0.001279393,0.001227938,0.001476349,0.0004315603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003905521,"about_ca_system_score_gemma":0.0007244273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003844246,"about_ca_topic_score_gemma":0.0003040084,"domain_scores_codex":[0.998427,0.0006085578,0.0001040652,0.0003528643,0.000258139,0.0002493641],"domain_scores_gemma":[0.9823575,0.01102183,0.002704672,0.002205889,0.0002917306,0.001418379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.07651862,0.2580586,0.05865664,0.0009842247,0.0006194802,0.001354537,0.004897037,0.02590141,0.4466422,0.02315274,0.003098757,0.1001158],"study_design_scores_gemma":[0.01929286,0.454128,0.1445141,0.0001637422,0.0006331559,0.001091736,0.003367444,0.1279437,0.1822871,0.05426507,0.01192816,0.0003850454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978396,0.00001702481,0.0009894201,0.00005211973,0.00001035202,0.00008388789,0.00005539266,0.00001495517,0.0009373856],"genre_scores_gemma":[0.9947784,0.000036787,0.002474079,0.00006532694,0.0000246499,0.0003659276,0.00009164544,0.00001170515,0.002151347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007060893,"threshold_uncertainty_score":0.02362102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3143886111086343,"score_gpt":0.2878592367386256,"score_spread":0.02652937437000868,"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."}}