{"id":"W7052847506","doi":"","title":"Stepright With Lynn - Episode 2 - H20 4 ALL","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profit (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006077619,0.0005474939,0.0003331638,0.0007169344,0.003502818,0.003599749,0.0009112674,0.001606857,0.7855286],"category_scores_gemma":[0.001881914,0.000407376,0.0003981797,0.0005611583,0.000448728,0.002647574,0.002998745,0.002111193,0.4995515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895479,"about_ca_system_score_gemma":0.002502328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03791177,"about_ca_topic_score_gemma":0.1547347,"domain_scores_codex":[0.9994857,0.00003516527,0.00001128016,0.00006535555,0.0002665678,0.0001358554],"domain_scores_gemma":[0.9984139,0.00009382521,0.00003533587,0.000104579,0.0005012061,0.0008511018],"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":[0.00002754919,0.00002107335,0.0001256974,0.00002561046,7.247849e-7,0.00004216878,0.00007887186,0.00001123428,0.0001697317,0.000967977,0.9830528,0.01547643],"study_design_scores_gemma":[0.000002804987,0.000004714218,0.0001389454,0.00001030867,5.091651e-7,0.00001484043,0.0001061832,0.00001298099,0.00008197937,0.0001375328,0.9994866,0.000002685197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001005511,0.0003356742,0.0009005435,0.004075424,0.002303133,0.0001068088,0.001977192,0.002908261,0.9863875],"genre_scores_gemma":[0.001427539,0.00009963307,0.0002664453,0.0007361441,0.00008558898,0.00001436202,0.0006139664,0.0007808804,0.9959756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7855286,"threshold_uncertainty_score":0.3059174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004626244915427883,"score_gpt":0.1699282703640233,"score_spread":0.1653020254485954,"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."}}