{"id":"W7048685391","doi":"","title":"Le printemps d'après - Capture d'écran/Screenshot","year":2013,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Identifier; Encyclopedia; Movie theater; Theme (computing)","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":["insufficient_payload"],"category_scores_codex":[0.0002299695,0.0009177419,0.0003087105,0.001182625,0.0007082802,0.001419744,0.0004784685,0.0006144922,0.3978343],"category_scores_gemma":[0.001589867,0.0002877111,0.0004567851,0.0007857745,0.0002641985,0.001251748,0.0008601795,0.0008467251,0.15068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002819722,"about_ca_system_score_gemma":0.0002737778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002724929,"about_ca_topic_score_gemma":0.007824202,"domain_scores_codex":[0.9998292,0.00001827584,0.000005632591,0.00002609648,0.00009307688,0.00002768419],"domain_scores_gemma":[0.9992715,0.0002341738,0.00001772761,0.0001208143,0.0002976447,0.00005814363],"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":[0.0004101804,0.00009632532,0.0005182066,0.0006618862,0.0000106185,0.0005493526,0.001140382,0.0002682351,0.01107701,0.003423339,0.7261247,0.2557198],"study_design_scores_gemma":[0.00001771807,0.00005651757,0.004295236,0.0002140719,0.000008862622,0.000297617,0.0004577257,0.0004642549,0.004396336,0.0005045573,0.9892636,0.00002353977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01127604,0.001140979,0.02026293,0.001066109,0.004383417,0.0006011251,0.01476868,0.01350561,0.9329951],"genre_scores_gemma":[0.04746265,0.001294279,0.02651556,0.001002821,0.0006627208,0.0005175292,0.009641897,0.006136549,0.9067659],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6021657,"threshold_uncertainty_score":0.8589163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009413413135824177,"score_gpt":0.1779416091386196,"score_spread":0.1685281960027955,"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."}}