{"id":"W7084605743","doi":"10.25318/2710040801-eng","title":"Experimental estimates for obstacles to commercialization of intellectual property in Canadian higher education, by type of institution","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Agriculture, Water, and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commercialization; Intellectual property; Obstacle; Government (linguistics); Process (computing); Institution","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":[0.0000978993,0.0001025093,0.0001851064,0.00005955766,0.00006046976,0.00002108933,0.0003272872,0.0001069662,0.002304211],"category_scores_gemma":[0.00005200128,0.00007185053,0.00001332773,0.000211221,0.00005459278,0.00009428227,0.0001090414,0.00004826687,0.0000278908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004234769,"about_ca_system_score_gemma":0.0004704911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5919186,"about_ca_topic_score_gemma":0.3899725,"domain_scores_codex":[0.9993196,0.00002152371,0.0002384694,0.0001966664,0.00008296248,0.0001407762],"domain_scores_gemma":[0.9996561,0.00002018879,0.00008003024,0.0001333454,0.00002178931,0.00008859259],"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":[0.00002940009,0.0001574692,0.0007397365,0.00002996268,0.000003872589,7.624493e-8,0.0004692972,0.00002838751,0.0003112865,0.000006174753,0.9967062,0.001518096],"study_design_scores_gemma":[0.0001027163,0.00009942673,0.0009718014,0.0001056731,0.00001121832,1.93195e-7,0.0001454434,0.000005094834,0.005939,0.000006857767,0.9925168,0.00009579829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03264788,0.0002877578,0.00001157904,0.0003992271,0.0007384039,0.003163988,0.9581254,8.882893e-7,0.004624857],"genre_scores_gemma":[0.02257764,0.0000318073,0.001156619,0.0002276435,0.00002593463,0.0000903481,0.9728999,0.000004235865,0.002985862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2019461,"threshold_uncertainty_score":0.9986078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04627445830849706,"score_gpt":0.3484918756318547,"score_spread":0.3022174173233576,"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."}}