{"id":"W2795084341","doi":"10.36834/cmej.42170","title":"Between land and sea","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Global Maritime and Colonial Histories","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004952849,0.00003269318,0.00005329217,0.00006407695,0.0008694643,0.00007696732,0.0001211429,0.00009377566,0.01269902],"category_scores_gemma":[0.003847893,0.00003200163,0.0000120584,0.00011907,0.0004475632,0.00008961189,0.000005169103,0.0001547355,0.00007271243],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002161449,"about_ca_system_score_gemma":0.03149276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1767963,"about_ca_topic_score_gemma":0.5427632,"domain_scores_codex":[0.9992985,0.00007366075,0.00008416647,0.0000592923,0.0002838419,0.0002005757],"domain_scores_gemma":[0.9948083,0.00002458825,0.00002375706,0.00003419889,0.0001830292,0.00492617],"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":[0.000002019244,0.00001086652,0.1696056,0.000002106702,0.000009076689,0.000009779436,0.008825059,3.250803e-9,1.083484e-7,0.008693491,0.5552655,0.2575764],"study_design_scores_gemma":[0.00004822075,0.00002067408,0.02897767,0.00001470003,0.000005189231,0.00001811767,0.0007474737,4.599191e-7,2.300759e-7,0.002869932,0.9672576,0.00003978711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4519229,0.0009393454,0.00001469831,0.219696,0.00426337,0.00009408967,0.000007834987,0.0000192609,0.3230425],"genre_scores_gemma":[0.9818099,0.00008206474,0.00007967551,0.01027505,0.005855264,0.000001276346,0.000001661792,0.000002770386,0.001892307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5298871,"threshold_uncertainty_score":0.9882035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052687832404536,"score_gpt":0.3029486549681836,"score_spread":0.2924217766441382,"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."}}