{"id":"W2266078087","doi":"","title":"SCC Clarifies Areas of Challenge for Selection Patents","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Innovator; Novelty; Genus; Order (exchange); Selection (genetic algorithm); Group (periodic table); Business; Industrial organization; Operations research; Computer science; Engineering; Biology; Artificial intelligence; Chemistry; Ecology; Psychology; Finance; Entrepreneurship","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":[],"consensus_categories":[],"category_scores_codex":[0.001097932,0.0001396473,0.0001677543,0.0001967269,0.000298509,0.00009164096,0.0002348841,0.0001254098,0.0001639554],"category_scores_gemma":[0.0001873179,0.0001103051,0.0001350868,0.0001805656,0.00003717763,0.0005723066,0.00003345456,0.001279377,0.000071298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006188663,"about_ca_system_score_gemma":0.0002248603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001946882,"about_ca_topic_score_gemma":0.001629084,"domain_scores_codex":[0.9982676,0.000009249946,0.000268757,0.0001569198,0.0001930765,0.001104417],"domain_scores_gemma":[0.9992697,0.00002546371,0.0002374937,0.00009151971,0.000364433,0.00001142883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00137846,0.0007502803,0.02429793,0.0003260152,0.000632406,0.000002277474,0.0002841258,0.0000657143,0.02350959,0.8185523,0.002430306,0.1277706],"study_design_scores_gemma":[0.003203774,0.0006301386,0.00283258,0.0001037948,0.0002563531,0.0001286379,0.001340751,0.007047256,0.003498015,0.8925449,0.08768557,0.0007282178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807284,0.0003743668,0.006626068,0.0009493734,0.001336219,0.0003679124,0.000001572204,0.00006148119,0.0095546],"genre_scores_gemma":[0.9966373,0.0002385357,0.00004664724,0.0001673442,0.001547157,0.000009863737,0.000008441144,0.00002668603,0.001318032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270424,"threshold_uncertainty_score":0.5558326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05759428131408783,"score_gpt":0.2268002423166578,"score_spread":0.16920596100257,"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."}}