{"id":"W7112086934","doi":"","title":"Special Report - From Start-up to Scale-up: A Report on the Innovation Clinic in Canada","year":2019,"lang":"","type":"article","venue":"eYLS (Yale Law School)","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commercialization; Intellectual property; Work (physics); Exploit; Experiential learning; Production (economics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005794064,0.0005790694,0.0008862945,0.0001921814,0.0009439118,0.0005015226,0.001465214,0.0004436118,0.03600016],"category_scores_gemma":[0.004667815,0.0005288701,0.0002039409,0.003367675,0.0005935285,0.0007534612,0.000348241,0.001550887,0.007586103],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003316489,"about_ca_system_score_gemma":0.008912155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840347,"about_ca_topic_score_gemma":0.9975539,"domain_scores_codex":[0.9897914,0.0008303546,0.003490543,0.001760699,0.002751491,0.001375511],"domain_scores_gemma":[0.9936506,0.001424308,0.001454545,0.002167179,0.0007855512,0.0005178396],"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":[0.001255655,0.0004152262,0.3902602,0.00003966211,0.0002314883,0.003692961,0.01903333,0.0006490768,0.0008435813,0.1801345,0.391307,0.0121373],"study_design_scores_gemma":[0.0002935814,0.0002027991,0.01987855,0.0003920172,0.00004278518,0.00002182183,0.02011805,0.0000743661,0.003022605,0.01686337,0.9380571,0.00103298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8125657,0.00003041024,0.00002264028,0.009717818,0.02745141,0.001918367,0.00008546549,0.00004584433,0.1481623],"genre_scores_gemma":[0.9492266,0.00002568139,0.00008796097,0.006612086,0.009526036,0.00008724754,0.00006594098,0.00006450614,0.0343039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5467501,"threshold_uncertainty_score":0.9997163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0471198597927758,"score_gpt":0.3208996871905365,"score_spread":0.2737798273977606,"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."}}