{"id":"W7050824823","doi":"","title":"Canada from France","year":2018,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Natural (archaeology)","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":[0.0005120702,0.001514926,0.0009774179,0.00265605,0.004502422,0.005602452,0.001215404,0.001943212,0.5362262],"category_scores_gemma":[0.001970765,0.0004029432,0.0007016988,0.002235452,0.001186431,0.001336482,0.001927381,0.002101015,0.2300397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01080104,"about_ca_system_score_gemma":0.01518841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.447033,"about_ca_topic_score_gemma":0.560949,"domain_scores_codex":[0.9988526,0.0000945597,0.00003873826,0.0003472572,0.0004443861,0.0002224716],"domain_scores_gemma":[0.9989147,0.0001303939,0.00006520245,0.000123576,0.0005605907,0.0002053833],"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":[0.0002245349,0.00006198923,0.001643065,0.0004378501,0.00006300999,0.0009230271,0.0003084557,0.0006458659,0.001713368,0.1132068,0.6667062,0.2140658],"study_design_scores_gemma":[0.00001048414,0.000005387362,0.00080236,0.00005316153,0.000004533773,0.0001111769,0.00006721682,0.00005078357,0.0002096224,0.0007716081,0.9979069,0.000006808908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002948698,0.007754484,0.001454263,0.006045448,0.003020851,0.0001028105,0.01210188,0.001196822,0.9653747],"genre_scores_gemma":[0.006629775,0.001467346,0.0009047602,0.0005107626,0.000123164,0.00002911238,0.001960982,0.0002350634,0.9881391],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.552967,"threshold_uncertainty_score":0.888862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009034903694798783,"score_gpt":0.203491067466777,"score_spread":0.1944561637719782,"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."}}