{"id":"W6965386284","doi":"10.34675/l15107","title":"Nonexclusive license to use the 'ELAMS' software, including the Agricultural Lending and Commercial Lending interfaces, in Saskatchewan, Canada.","year":2019,"lang":"en","type":"article","venue":"RoyaltyStat Library","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agriculture; License; Payment; Government (linguistics)","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":[0.0001476056,0.0001864228,0.0002182256,0.00001624382,0.0007809703,0.0001495642,0.0003983752,0.00007770005,0.0001410566],"category_scores_gemma":[0.00005313322,0.00005690368,0.00004074916,0.0003530093,0.00009585455,0.000471383,0.0009821503,0.0002691412,0.0000254291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006414049,"about_ca_system_score_gemma":0.00003923203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07481658,"about_ca_topic_score_gemma":0.6986766,"domain_scores_codex":[0.9988092,0.0001446012,0.0001905739,0.0002957996,0.0001606346,0.0003991782],"domain_scores_gemma":[0.9988,0.000955893,0.00007857537,0.00006857025,0.00001820791,0.00007870155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000892815,0.00002316143,0.9514802,0.00001122175,0.00003761911,0.00001921049,0.002900447,0.00003694502,0.0006325069,0.0001102153,0.03916046,0.005498794],"study_design_scores_gemma":[0.0001361853,0.00009245077,0.9462298,0.00004458198,0.00001028143,0.000008116962,0.02221132,0.0000118753,0.0002498206,0.00002342779,0.03079885,0.0001832557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847832,0.0001810216,3.295152e-7,0.01379551,0.0003409895,0.0004147026,0.0001184339,0.00004323954,0.0003225757],"genre_scores_gemma":[0.9949068,0.00003532927,0.00005695457,0.003020139,0.0001008376,0.000009548791,0.00003818885,0.000001450472,0.001830686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6238601,"threshold_uncertainty_score":0.9313443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553032468387209,"score_gpt":0.1884051356272345,"score_spread":0.1728748109433624,"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."}}