{"id":"W4404742810","doi":"10.36645/mtlr.30.2.repair","title":"Repair as Research: How Copyright Impedes Learning About Devices","year":2024,"lang":"en","type":"article","venue":"Michigan Technology Law Review","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.06519564,0.000462727,0.0009420746,0.004936348,0.01296351,0.02876827,0.003569161,0.008200966,0.01297433],"category_scores_gemma":[0.1941568,0.0008692892,0.001205499,0.00385627,0.05733061,0.04136756,0.01586308,0.009001421,0.001432065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01018952,"about_ca_system_score_gemma":0.01176937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038207,"about_ca_topic_score_gemma":0.008407589,"domain_scores_codex":[0.9427042,0.03409447,0.003358521,0.005663978,0.01050651,0.003672215],"domain_scores_gemma":[0.6458409,0.2919971,0.01644579,0.030391,0.01095968,0.004365423],"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":[0.00007284097,0.00009052282,0.00556792,0.0001207629,0.00001404745,0.0003928443,0.0283463,0.0008231203,0.0004133442,0.9367858,0.00189311,0.02547933],"study_design_scores_gemma":[0.0001257278,0.0002546206,0.007471903,0.001381586,0.00009655934,0.001111427,0.06048217,0.005088266,0.003329658,0.7509974,0.1695253,0.0001354227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4374615,0.004647573,0.08175813,0.08491097,0.0003245217,0.0002904449,0.0001861195,0.0003625807,0.3900582],"genre_scores_gemma":[0.9863924,0.001137911,0.002579333,0.001792024,0.00008049478,0.0001408988,0.00002709913,0.00005835626,0.007791294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9870365,"threshold_uncertainty_score":0.3447917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07704505156766789,"score_gpt":0.3407524568746376,"score_spread":0.2637074053069697,"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."}}