{"id":"W1990541705","doi":"10.1145/508530.508536","title":"Hatching by example","year":2002,"lang":"en","type":"article","venue":"","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Hatching; Computer science; Biology; Animal science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003872306,0.00004617996,0.0000536631,0.000001911911,0.0001056324,0.00001406841,0.0001167738,0.00005783939,0.009325263],"category_scores_gemma":[0.00000656031,0.00001341433,0.00002461055,0.00007022485,0.00001924965,0.00004561536,0.00002046419,0.00005338863,0.0005001013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002989957,"about_ca_system_score_gemma":9.841591e-8,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002295323,"about_ca_topic_score_gemma":0.0003113381,"domain_scores_codex":[0.9996424,0.000009443183,0.0000572268,0.0001084222,0.00004434993,0.0001381412],"domain_scores_gemma":[0.9998831,0.0000466775,0.00001338022,0.00002429209,0.00000633093,0.00002618674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002251844,0.00008863434,0.01108398,7.23349e-7,0.000007162022,0.000002596558,0.00003028321,9.746535e-8,0.4491942,0.003702467,0.09199998,0.4438876],"study_design_scores_gemma":[0.0002984424,0.0002536643,0.02507164,0.000004897237,0.000009772703,0.00001375361,0.0003915262,0.0006372086,0.01164876,0.003157112,0.9581584,0.0003547817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751989,0.0002444302,0.000009007389,0.00394592,0.0000235406,0.0000419778,0.000004397917,0.0003049061,0.02022687],"genre_scores_gemma":[0.9960775,0.00003481818,0.00002395016,0.0006697741,0.00002358954,0.0000047643,0.000004956728,1.874349e-7,0.003160414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8661585,"threshold_uncertainty_score":0.9915804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255727485807766,"score_gpt":0.1684324724613563,"score_spread":0.1428597238805797,"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."}}