{"id":"W7009527717","doi":"","title":"Ep. #153. Chad Kennedy, Sea to Sea for PTSD","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raising (metalworking); Training (meteorology); Indian ocean; Climate change; Pacific ocean","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":[0.0005326865,0.0007392164,0.0004575183,0.0008073474,0.001757815,0.003222055,0.000925046,0.002620112,0.873896],"category_scores_gemma":[0.003448194,0.0005033871,0.0003775868,0.000658774,0.0004385829,0.00254748,0.002472724,0.002243352,0.8293844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182431,"about_ca_system_score_gemma":0.001580396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02087079,"about_ca_topic_score_gemma":0.03711695,"domain_scores_codex":[0.9996337,0.00004900772,0.00001963168,0.00003439893,0.0001748665,0.00008848224],"domain_scores_gemma":[0.998183,0.0003686698,0.00007934124,0.00009454093,0.0006305196,0.0006439551],"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":[0.000007587881,0.000005137151,0.00002648547,0.00002935818,2.888845e-7,0.000009840176,0.00001580414,0.000003419836,0.00001320809,0.0001856558,0.9896631,0.01004011],"study_design_scores_gemma":[0.00001175209,0.000007266915,0.0003473262,0.00008386817,9.040239e-7,0.00003051755,0.00007418462,0.00000923656,0.00002992169,0.0002089314,0.9991921,0.000004073413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002079322,0.001288799,0.0002153666,0.008072792,0.003123376,0.000172977,0.01283139,0.001984487,0.9721029],"genre_scores_gemma":[0.0007871099,0.0006129162,0.00009775317,0.002893421,0.0003480178,0.00008402472,0.002080114,0.0004737679,0.9926229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.873896,"threshold_uncertainty_score":0.179872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017120474137424,"score_gpt":0.2127049874951522,"score_spread":0.202533782753778,"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."}}