{"id":"W2754266722","doi":"10.1093/biosci/bix100","title":"Global Rush to Harness Drones Yields Ups and Downs","year":2017,"lang":"en","type":"article","venue":"BioScience","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CARE Canada","funders":"","keywords":"Drone; Business; Aeronautics; International trade; Engineering; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006437527,0.0008865353,0.0002748915,0.0006464999,0.0008324225,0.002075747,0.0003553687,0.0005736899,0.03071766],"category_scores_gemma":[0.001201583,0.0001624662,0.0006192396,0.0007294092,0.0009362423,0.002363421,0.001631542,0.001386683,0.005403703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043119,"about_ca_system_score_gemma":0.001123792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003701836,"about_ca_topic_score_gemma":0.00903162,"domain_scores_codex":[0.9996849,0.00004236085,0.00000932313,0.0000554495,0.0001437758,0.0000642768],"domain_scores_gemma":[0.999458,0.00008465253,0.00004638284,0.0001007841,0.0002393545,0.00007088164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006778025,0.0001949088,0.01773145,0.001223809,0.0003402509,0.001280157,0.001388039,0.01411597,0.06113861,0.2214926,0.09884595,0.5815703],"study_design_scores_gemma":[0.0000379498,0.0006568137,0.01823799,0.0006526303,0.0001719435,0.0006618408,0.006241673,0.004293316,0.03090087,0.05525342,0.8828157,0.00007594677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.1901703,0.01334984,0.02593851,0.01586097,0.005595909,0.0001018355,0.001658683,0.0009432513,0.7463807],"genre_scores_gemma":[0.8416171,0.01215704,0.006050521,0.003896655,0.0005281998,0.00006394617,0.0008135886,0.0003314373,0.1345416],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03071766,"threshold_uncertainty_score":0.1027609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377350677958283,"score_gpt":0.3198701255724137,"score_spread":0.2960966187928309,"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."}}