{"id":"W7125967518","doi":"10.1145/3757377.3794985","title":"10.1145/3757377.3794985","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); 3D reconstruction; Component (thermodynamics); Key (lock)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00110711,0.002515606,0.001723775,0.002034718,0.001719843,0.004078446,0.001938192,0.003551205,0.9157549],"category_scores_gemma":[0.001950126,0.001106883,0.0009888253,0.00630495,0.001101145,0.007090259,0.003947414,0.002272575,0.9375299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825251,"about_ca_system_score_gemma":0.0008459081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358291,"about_ca_topic_score_gemma":0.01224318,"domain_scores_codex":[0.9994647,0.00004047424,0.00004773576,0.0001484064,0.0001954344,0.000103282],"domain_scores_gemma":[0.9991162,0.0001721465,0.00003874553,0.0002742115,0.0002347642,0.0001639367],"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":[0.000190499,0.00009798655,0.0002858941,0.0004382334,0.00002821803,0.0001630085,0.00005696275,0.0004830234,0.001769787,0.004522475,0.7161252,0.2758387],"study_design_scores_gemma":[0.00002033667,0.00002051837,0.0005199686,0.0001667241,0.00002134383,0.00009781266,0.00005933237,0.0007100509,0.0004258431,0.001340731,0.9965971,0.00002031444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001866804,0.005937303,0.01467761,0.001264733,0.002987848,0.0004084657,0.01447513,0.01535525,0.9430269],"genre_scores_gemma":[0.003961714,0.00299133,0.002449377,0.0006755968,0.0001539955,0.0001829487,0.009068989,0.001907253,0.9786088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08424509,"threshold_uncertainty_score":0.1201653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140140247378501,"score_gpt":0.1972528016601846,"score_spread":0.1832387769223345,"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."}}