{"id":"W6910730350","doi":"10.48660/18060049","title":"Discussion Session","year":2018,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Session (web analytics); Session key; Key (lock); Component (thermodynamics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005987219,0.001218744,0.001197442,0.002145249,0.008119903,0.01305684,0.002517223,0.009103807,0.7209544],"category_scores_gemma":[0.015982,0.000529311,0.001453885,0.001398106,0.001295093,0.004575688,0.005143365,0.009746186,0.503598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004201825,"about_ca_system_score_gemma":0.006292015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009672162,"about_ca_topic_score_gemma":0.02897999,"domain_scores_codex":[0.9969681,0.0005994742,0.00007458105,0.0003761486,0.00122774,0.0007539988],"domain_scores_gemma":[0.9936808,0.001324643,0.0001225771,0.0005640149,0.002374585,0.001933296],"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":[0.00004255903,0.00001909302,0.00003662036,0.00002284918,0.000001397173,0.00001921778,0.00003831966,0.00001050593,0.00002250163,0.002431506,0.9939935,0.003362055],"study_design_scores_gemma":[0.00002196005,0.000007278518,0.000186922,0.000057012,0.000002849064,0.000009129533,0.0001630163,0.00003915437,0.00006553272,0.001327078,0.998114,0.000006083692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007432912,0.0006658703,0.00078026,0.03541257,0.02381211,0.00040103,0.006497511,0.001237283,0.93045],"genre_scores_gemma":[0.002538937,0.0002165225,0.0003036269,0.00636439,0.002403951,0.0002818941,0.001733711,0.0007036671,0.9854533],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2790456,"threshold_uncertainty_score":0.3980247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679279839924647,"score_gpt":0.2850204187277035,"score_spread":0.268227620328457,"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."}}