{"id":"W7038046567","doi":"","title":"Hour 2, Segments 1 and 2 - Shachi Kurl","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Slipping; Work (physics); Government (linguistics)","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":[0.001063186,0.0009692357,0.0005645025,0.0009326786,0.006979737,0.005781732,0.001029986,0.00395006,0.6238835],"category_scores_gemma":[0.002387527,0.0005354329,0.0005902655,0.0009625903,0.0006150444,0.002843733,0.004034453,0.003969893,0.4731307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002343594,"about_ca_system_score_gemma":0.004559897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01807779,"about_ca_topic_score_gemma":0.1000257,"domain_scores_codex":[0.9991241,0.00005509336,0.00001461202,0.0001004392,0.000365828,0.000339897],"domain_scores_gemma":[0.9973727,0.0001097066,0.00004902266,0.0001026966,0.0007954967,0.001570379],"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":[0.00001118418,0.0000102385,0.00003732229,0.00001175456,1.565367e-7,0.00001722855,0.00002696983,0.000002242042,0.00006407267,0.0001128424,0.997286,0.00242006],"study_design_scores_gemma":[0.000005919047,0.00001585605,0.0006864827,0.00002183427,4.89242e-7,0.00002043808,0.0002611214,0.00001174106,0.00006457176,0.0001119294,0.9987956,0.000003935399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001873067,0.0009798857,0.0005572714,0.02007381,0.0331585,0.0007003538,0.004475473,0.001702272,0.9364794],"genre_scores_gemma":[0.001825687,0.0002406704,0.0001419291,0.002692613,0.001747549,0.0001662113,0.001287149,0.0003294029,0.9915689],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3761165,"threshold_uncertainty_score":0.5364845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00892079192455736,"score_gpt":0.2192749355120407,"score_spread":0.2103541435874833,"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."}}