{"id":"W4301721876","doi":"10.5281/zenodo.6963541","title":"D.2.2.3. At least four among video spots or clips in various languages","year":2022,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"CLIPS; Spots; Computer science; Computer graphics (images); Artificial intelligence; Chemistry","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":[],"category_scores_codex":[0.0009771582,0.0006298964,0.0002417025,0.001078384,0.001165181,0.001830918,0.0005212347,0.0008277888,0.1901051],"category_scores_gemma":[0.001716681,0.000255338,0.0002398199,0.0009143868,0.0004517238,0.0008901496,0.001279786,0.0006075071,0.08520371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005711463,"about_ca_system_score_gemma":0.0006411102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002840892,"about_ca_topic_score_gemma":0.004823263,"domain_scores_codex":[0.9994774,0.00008148569,0.00002498819,0.0001310288,0.0001786077,0.0001064549],"domain_scores_gemma":[0.9991174,0.0001021493,0.00004195837,0.0002076311,0.0003307011,0.0002000871],"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":[0.001402839,0.0002188182,0.00192067,0.001176557,0.00001294719,0.0007742326,0.002254589,0.0002925399,0.05658709,0.01903896,0.62792,0.2884007],"study_design_scores_gemma":[0.00003838976,0.0001137541,0.004338403,0.000103698,0.000005329674,0.0003505217,0.0005169909,0.0002525074,0.008376644,0.000873914,0.9850103,0.00001952273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01929884,0.0008575654,0.01795462,0.001434308,0.001823357,0.002519405,0.02845439,0.005691179,0.9219663],"genre_scores_gemma":[0.1143018,0.001052972,0.03400315,0.0009918143,0.0007028005,0.003340743,0.0241782,0.00218763,0.819241],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8098949,"threshold_uncertainty_score":0.6359649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06543422848983246,"score_gpt":0.2780561306654216,"score_spread":0.2126219021755892,"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."}}