{"id":"W6890011449","doi":"10.34675/l41220","title":"Exclusive proprietary information license to exploit Stress Field Detector data related to the identification of hydrocarbons to explore for and sell such hydrocarbons identified by the data from prospecting in a commercially viable area in Canada and generate revenues, including through direct acquisition of the exploitation rights, entering into a joint venture, or selling the exploitation rights.","year":2024,"lang":"en","type":"article","venue":"RoyaltyStat Library","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Exploit; Identification (biology); License; Field (mathematics); Prospecting; Detector","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009998521,0.0007095105,0.0004816462,0.001969022,0.002635355,0.004554066,0.001844468,0.002000083,0.5851949],"category_scores_gemma":[0.007867427,0.0005539181,0.0005958683,0.002107149,0.002036969,0.0021744,0.002486672,0.001897283,0.3620555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003311286,"about_ca_system_score_gemma":0.01094178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05645838,"about_ca_topic_score_gemma":0.06754543,"domain_scores_codex":[0.9983563,0.00006226519,0.00004302718,0.0001688185,0.001085388,0.0002841614],"domain_scores_gemma":[0.9933021,0.0007992259,0.0003744428,0.001387317,0.003168809,0.0009681809],"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":[0.0002557993,0.0002086204,0.002036665,0.0003674517,0.00003620674,0.0005247954,0.000302669,0.0002945254,0.008149687,0.04045671,0.7637488,0.1836181],"study_design_scores_gemma":[0.00002631929,0.00004108733,0.002568634,0.0001170527,0.0000094782,0.0002958789,0.0001115725,0.0003269115,0.001464613,0.002062993,0.9929589,0.00001648611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001679181,0.0002596781,0.002098305,0.001814773,0.0004574679,0.0001996177,0.005335354,0.0009566593,0.9871989],"genre_scores_gemma":[0.01774358,0.0004508974,0.0009295223,0.0007110835,0.0001234964,0.00008588743,0.0059107,0.0003482456,0.9736965],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9435416,"threshold_uncertainty_score":0.5916691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06794352383895759,"score_gpt":0.2634920586983722,"score_spread":0.1955485348594146,"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."}}