{"id":"W4406638258","doi":"10.1016/b978-0-7506-3993-4.50144-8","title":"10.1016/b978-0-7506-3993-4.50144-8","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000443408,0.0006366471,0.000864992,0.0002173843,0.0001584423,0.0002261159,0.0007542211,0.0005120808,0.9996232],"category_scores_gemma":[0.00003079545,0.0006176007,0.0002165936,0.00004242474,0.0001152062,0.0001635117,0.0002599346,0.000204605,0.9994417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138033,"about_ca_system_score_gemma":0.0001320343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004464696,"about_ca_topic_score_gemma":6.306526e-7,"domain_scores_codex":[0.997296,0.00005545664,0.0006470252,0.0008472329,0.0005428475,0.0006114395],"domain_scores_gemma":[0.9982534,0.00005957804,0.0002298926,0.0009832357,0.0001000067,0.0003738578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003775696,0.00006852167,1.405886e-9,0.0000952941,0.00009378653,0.0004255729,0.0000593945,0.00003836414,0.05813341,0.0004723327,0.1557688,0.7844669],"study_design_scores_gemma":[0.0001849966,0.0001673042,3.820411e-8,0.0001382906,0.00009504234,0.00004899324,1.772397e-7,0.000001329453,0.01103337,0.0004353758,0.9871606,0.0007345246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000894584,0.0002571394,0.000001058719,0.00006312924,0.00003451165,0.0005422259,0.0005315334,0.0003783682,0.9981025],"genre_scores_gemma":[0.000006368782,2.892743e-7,0.0001504927,0.0001070844,0.000961417,0.00004340025,0.0001360564,0.0001784814,0.9984164],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8313918,"threshold_uncertainty_score":0.9996275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021128612843895,"score_gpt":0.1845219532643921,"score_spread":0.1743106671359531,"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."}}